Use create_tmp_dir when creating a temporary directory
#10462
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Signed-off-by: harupy <[email protected]>
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Documentation preview for 5f51296 will be available here when this CircleCI job completes successfully. More info
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Signed-off-by: harupy <[email protected]>
| @@ -833,19 +833,27 @@ def _handle_readonly_on_windows(func, path, exc_info): | |||
| func(path) | |||
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| def create_tmp_dir(): | |||
| def _get_tmp_dir(): | |||
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shall we rename it to _get_tmp_dir_on_databricks ?
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on_databricks sounds like it only works on databricks, but that's not true.
BenWilson2
approved these changes
Nov 20, 2023
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@mlflow-automation autoformat |
KonakanchiSwathi
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Nov 29, 2023
Signed-off-by: harupy <[email protected]> Signed-off-by: mlflow-automation <[email protected]> Co-authored-by: mlflow-automation <[email protected]> Signed-off-by: swathi <[email protected]>
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Related Issues/PRs
#xxxWhat changes are proposed in this pull request?
Use
create_tmp_diron Databricks when a temporary directory is needed.How is this PR tested?
Does this PR require documentation update?
Release Notes
Is this a user-facing change?
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/artifacts: Artifact stores and artifact loggingarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesarea/examples: Example codearea/gateway: AI Gateway service, Gateway client APIs, third-party Gateway integrationsarea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models: MLmodel format, model serialization/deserialization, flavorsarea/recipes: Recipes, Recipe APIs, Recipe configs, Recipe Templatesarea/projects: MLproject format, project running backendsarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra: MLflow Tracking server backendarea/tracking: Tracking Service, tracking client APIs, autologgingInterface
area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows: Windows supportLanguage
language/r: R APIs and clientslanguage/java: Java APIs and clientslanguage/new: Proposals for new client languagesIntegrations
integrations/azure: Azure and Azure ML integrationsintegrations/sagemaker: SageMaker integrationsintegrations/databricks: Databricks integrationsHow should the PR be classified in the release notes? Choose one:
rn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notes