DOCS-1080 Change setup_editor to connect_ontology and remove outdated client.enable_experimental

annotation_import/conversational.ipynb

@@ -202,7 +202,7 @@
     },
     {
       "metadata": {},
-      "source": "# Create Labelbox project\nproject = client.create_project(\n    name=\"Conversational Text Annotation Import Demo\",\n    media_type=lb.MediaType.Conversational,\n)\n\n# Setup your ontology\nproject.setup_editor(\n    ontology)  # Connect your ontology and editor to your project",
+      "source": "# Create Labelbox project\nproject = client.create_project(\n    name=\"Conversational Text Annotation Import Demo\",\n    media_type=lb.MediaType.Conversational,\n)\n\n# Setup your ontology\nproject.connect_ontology(\n    ontology)  # Connect your ontology and editor to your project",
       "cell_type": "code",
       "outputs": [],
       "execution_count": null

annotation_import/conversational_LLM.ipynb

@@ -215,7 +215,7 @@
     },
     {
       "metadata": {},
-      "source": "# Create Labelbox project\nproject = client.create_project(\n    name=\"Conversational Text Annotation Import Demo (Pairwise comparison)\",\n    media_type=lb.MediaType.Conversational,\n)\n\n# Setup your ontology\nproject.setup_editor(\n    ontology)  # Connect your ontology and editor to your project",
+      "source": "# Create Labelbox project\nproject = client.create_project(\n    name=\"Conversational Text Annotation Import Demo (Pairwise comparison)\",\n    media_type=lb.MediaType.Conversational,\n)\n\n# Setup your ontology\nproject.connect_ontology(\n    ontology)  # Connect your ontology and editor to your project",
       "cell_type": "code",
       "outputs": [],
       "execution_count": null

annotation_import/dicom.ipynb

@@ -154,7 +154,7 @@
     },
     {
       "metadata": {},
-      "source": "# Project defaults to batch mode with benchmark quality settings if this argument is not provided\n# Queue mode will be deprecated once dataset mode is deprecated\n\nproject = client.create_project(name=\"dicom_project_demo\",\n                                media_type=lb.MediaType.Dicom)\n\n## connect ontology to your project\nproject.setup_editor(ontology)",
+      "source": "# Project defaults to batch mode with benchmark quality settings if this argument is not provided\n# Queue mode will be deprecated once dataset mode is deprecated\n\nproject = client.create_project(name=\"dicom_project_demo\",\n                                media_type=lb.MediaType.Dicom)\n\n## connect ontology to your project\nproject.connect_ontology(ontology)",
       "cell_type": "code",
       "outputs": [],
       "execution_count": null

annotation_import/html.ipynb

@@ -193,7 +193,7 @@
     },
     {
       "metadata": {},
-      "source": "# Create Labelbox project\nproject = client.create_project(name=\"HTML Import Annotation Demo\",\n                                media_type=lb.MediaType.Html)\n\n# Setup your ontology\nproject.setup_editor(\n    ontology)  # Connect your ontology and editor to your project",
+      "source": "# Create Labelbox project\nproject = client.create_project(name=\"HTML Import Annotation Demo\",\n                                media_type=lb.MediaType.Html)\n\n# Setup your ontology\nproject.connect_ontology(\n    ontology)  # Connect your ontology and editor to your project",
       "cell_type": "code",
       "outputs": [],
       "execution_count": null

annotation_import/image.ipynb

@@ -327,7 +327,7 @@
     },
     {
       "metadata": {},
-      "source": "# Project defaults to batch mode with benchmark quality settings if this argument is not provided\n# Queue mode will be deprecated once dataset mode is deprecated\nproject = client.create_project(name=\"Image Annotation Import Demo\",\n                                media_type=lb.MediaType.Image)\n\nproject.setup_editor(ontology)",
+      "source": "# Project defaults to batch mode with benchmark quality settings if this argument is not provided\n# Queue mode will be deprecated once dataset mode is deprecated\nproject = client.create_project(name=\"Image Annotation Import Demo\",\n                                media_type=lb.MediaType.Image)\n\nproject.connect_ontology(ontology)",
       "cell_type": "code",
       "outputs": [],
       "execution_count": null

annotation_import/text.ipynb

@@ -202,7 +202,7 @@
     },
     {
       "metadata": {},
-      "source": "# Project defaults to batch mode with benchmark quality settings if this argument is not provided\n# Queue mode will be deprecated once dataset mode is deprecated\n\nproject = client.create_project(name=\"Text Annotation Import Demo\",\n                                media_type=lb.MediaType.Text)\n\nproject.setup_editor(ontology)",
+      "source": "# Project defaults to batch mode with benchmark quality settings if this argument is not provided\n# Queue mode will be deprecated once dataset mode is deprecated\n\nproject = client.create_project(name=\"Text Annotation Import Demo\",\n                                media_type=lb.MediaType.Text)\n\nproject.connect_ontology(ontology)",
       "cell_type": "code",
       "outputs": [],
       "execution_count": null

annotation_import/tiled.ipynb

@@ -225,7 +225,7 @@
     },
     {
       "metadata": {},
-      "source": "# Project defaults to batch mode with benchmark quality settings if this argument is not provided\n# Queue mode will be deprecated once dataset mode is deprecated\n\nproject = client.create_project(name=\"Geospatial Project Demo\",\n                                media_type=lb.MediaType.Geospatial_Tile)\n\nproject.setup_editor(ontology)",
+      "source": "# Project defaults to batch mode with benchmark quality settings if this argument is not provided\n# Queue mode will be deprecated once dataset mode is deprecated\n\nproject = client.create_project(name=\"Geospatial Project Demo\",\n                                media_type=lb.MediaType.Geospatial_Tile)\n\nproject.connect_ontology(ontology)",
       "cell_type": "code",
       "outputs": [],
       "execution_count": null

annotation_import/video.ipynb

@@ -288,7 +288,7 @@
     },
     {
       "metadata": {},
-      "source": "project = client.create_project(name=\"Video Annotation Import Demo\",\n                                media_type=lb.MediaType.Video)\n\n## connect ontology to your project\nproject.setup_editor(ontology)",
+      "source": "project = client.create_project(name=\"Video Annotation Import Demo\",\n                                media_type=lb.MediaType.Video)\n\n## connect ontology to your project\nproject.connect_ontology(ontology)",
       "cell_type": "code",
       "outputs": [],
       "execution_count": null

basics/batches.ipynb

@@ -241,7 +241,7 @@
     },
     {
       "metadata": {},
-      "source": "classification_features = [\n    lb.Classification(\n        class_type=lb.Classification.Type.CHECKLIST,\n        name=\"Quality Issues\",\n        options=[\n            lb.Option(value=\"blurry\", label=\"Blurry\"),\n            lb.Option(value=\"distorted\", label=\"Distorted\"),\n        ],\n    )\n]\n\nontology_builder = lb.OntologyBuilder(tools=[],\n                                      classifications=classification_features)\n\nontology = client.create_ontology(\n    \"Ontology from new features\",\n    ontology_builder.asdict(),\n    media_type=lb.MediaType.Image,\n)\n\nproject.setup_editor(ontology)",
+      "source": "classification_features = [\n    lb.Classification(\n        class_type=lb.Classification.Type.CHECKLIST,\n        name=\"Quality Issues\",\n        options=[\n            lb.Option(value=\"blurry\", label=\"Blurry\"),\n            lb.Option(value=\"distorted\", label=\"Distorted\"),\n        ],\n    )\n]\n\nontology_builder = lb.OntologyBuilder(tools=[],\n                                      classifications=classification_features)\n\nontology = client.create_ontology(\n    \"Ontology from new features\",\n    ontology_builder.asdict(),\n    media_type=lb.MediaType.Image,\n)\n\nproject.connect_ontology(ontology)",
       "cell_type": "code",
       "outputs": [],
       "execution_count": null