chore(deps): update python-nonmajor

[renovate-bot]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
SQLAlchemy (changelog)	==2.0.35 -> ==2.0.36
black (changelog)	==24.8.0 -> ==24.10.0
cloud-sql-python-connector	==1.12.1 -> ==1.15.0
google-cloud-aiplatform	==1.69.0 -> ==1.75.0
google-cloud-resource-manager (source)	==1.12.5 -> ==1.14.0
langchain-community (changelog)	==0.2.19 -> ==0.3.14
langchain-core (changelog)	==0.3.8 -> ==0.3.29
langchain-google-cloud-sql-pg (changelog)	==0.10.0 -> ==0.12.0
langchain-google-vertexai	==2.0.0 -> ==2.0.9
mypy (changelog)	==1.11.2 -> ==1.14.1
pgvector	==0.3.4 -> ==0.3.6
pytest (changelog)	==8.3.3 -> ==8.3.4
pytest-asyncio (changelog)	==0.24.0 -> ==0.25.1

---

Release Notes

psf/black (black)

v24.10.0

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Highlights

• Black is now officially tested with Python 3.13 and provides Python 3.13
  mypyc-compiled wheels. (#​4436) (#​4449)
• Black will issue an error when used with Python 3.12.5, due to an upstream memory
  safety issue in Python 3.12.5 that can cause Black's AST safety checks to fail. Please
  use Python 3.12.6 or Python 3.12.4 instead. (#​4447)
• Black no longer supports running with Python 3.8 (#​4452)

Stable style

• Fix crashes involving comments in parenthesised return types or X | Y style unions.
  (#​4453)
• Fix skipping Jupyter cells with unknown %% magic (#​4462)

Preview style

• Fix type annotation spacing between * and more complex type variable tuple (i.e. def fn(*args: *tuple[*Ts, T]) -> None: pass) (#​4440)

Caching

• Fix bug where the cache was shared between runs with and without --unstable (#​4466)

Packaging

• Upgrade version of mypyc used to 1.12 beta (#​4450) (#​4449)
• blackd now requires a newer version of aiohttp. (#​4451)

Output

• Added Python target version information on parse error (#​4378)
• Add information about Black version to internal error messages (#​4457)

GoogleCloudPlatform/cloud-sql-python-connector (cloud-sql-python-connector)

v1.15.0

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Features

• add support for DNS names with Connector (#​1204) (1a8f274)
• improve aiohttp client error messages (#​1201) (11f9fe9)

v1.14.0

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Features

• support native asyncpg connection pools (#​1182) (eb95a9d)

v1.13.0

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Features

• add support for Python 3.13 (#​1177) (6e6a1c8)
• drop support for Python 3.8 (#​1176) (10c9172)
• improve key for connector cache (#​1172) (066c14e)

Bug Fixes

• remove ConnectorLoopError from connector.connect (#​1170) (a348659)

googleapis/python-aiplatform (google-cloud-aiplatform)

v1.75.0

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Features

• A new field list_all_versions to ListPublisherModelsRequest (4b7799b)
• A new value NVIDIA_H100_MEGA_80GB is added to enum AcceleratorType (4b7799b)
• Add new RequiredReplicaCount field to DedicatedResources in MachineResources (4b7799b)
• Add new Status field to DeployedModel in Endpoint (4b7799b)
• Add new Status field to DeployedModel in Endpoint (4b7799b)
• Add properties feature_stats_and_anomalies to FeatureMonitorJob (92feb60)
• Add service renaming to GoSettings (4b7799b)
• Add support for opt-in debug logging (#​4734) (4b7799b)
• Add workbench_runtime and kernel_name to NotebookExecutionJob (4b7799b)
• Add workbench_runtime and kernel_name to NotebookExecutionJob (4b7799b)
• Feature Store - Support returning stats in get feature (9a12097)
• GenAI - Added support for GenerationConfig.response_modalities (78898fc)
• Support stream_query in LangChain Agent Templates in the Python Reasoning Engine Client (99f613b)
• Support streaming in the Reasoning Engine Python client. (a604a2e)

Bug Fixes

• RAG - Fix the uri used for upload_file (05f27b6)
• Rag - fix upload file environment mismatch (b9fecea)

Documentation

• A comment for field encryption_spec in message .google.cloud.aiplatform.v1.NotebookExecutionJob is changed (4b7799b)
• A comment for field encryption_spec in message .google.cloud.aiplatform.v1beta1.NotebookExecutionJob is changed (4b7799b)

v1.74.0

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Features

• Add browse pre-built metrics button for Ipython environments when listing example metrics for Gen AI Evaluation (58ba55e)
• Add compatibility for RagRetrievalConfig in rag_store and rag_retrieval (c52e3e4)
• Add deprecation warnings for use of similarity_top_k, vector_search_alpha, and vector_distance_threshold in retrieval_query, use RagRetrievalConfig instead. (c52e3e4)
• Add FeatureMonitorJob Create,Get,List in Vertex AI SDK (03eb735)
• Add List FeatureMonitor function to FeatureGroup in Vertex AI SDK (21bc83b)
• Add sdk support to inference timeout on cloud-based endpoints (dedicated or PSC). (f917269)
• Add support for Document AI Layout Parser as a RAG import option (565c800)
• Add support for ranking field in rag_retrieval_config for rag_store creation. (6faa1d0)
• Add vector_similarity_threshold support within RagRetrievalConfig in rag_store and rag_retrieval GA and preview versions (9402b3d)
• Add Vertex RAG service proto to v1 (a56e4dd)
• Adding Vertex AI Search Config for RAG corpuses to SDK (d3d69d6)
• Fix file type mismatch in uploading eval results to GCS, supported types: CSV, JSON. (905c766)
• GenAI - Grounding - Released VertexAiSearch and Retrieval to GA (0537fec)
• GenAI - Release the Prompt Management feature to Public Preview (7432c2c)
• GenAI - Support FunctionDeclaration.response schema (4288fec)
• GenAI - Tuning - Added support for BYOSA (7cbda03)
• Refactor rag_store and rag_retrieval to use v1 protos (dfe6d6c)
• Support multi-methods in SDK. (f02692d)
• Support NFS for Ray cluster creation (1ca9a05)
• Support RagFileTransformationConfig in upload_file function in V1 sdk (88ac48c)
• Update v1 sdk to use new RagCorpus, RagVectorDbConfig, & RagEmbeddingModelConfig proto (47a5a6d)
• Update v1 sdk to use new RagFileTransformationConfig proto (c23c62d)
• Update v1beta1 sdk for RagFileTransformationConfig and Ranking protos (ffe3230)
• Update v1beta1 sdk for RagVectorDbConfig & RagCorpus protos. Backward compatible with older fields. (216a30f)

Bug Fixes

• get_default_run method in Experiment class (9388fc9)
• Add MatchingEngineIndexConfig enums to proto value converters (e6d3df8)
• RAG Fix v1 rag_store compatibility with generative_models Tool by changing back to v1beta1 (e220312)
• Remove redundant progress bar update commands within runnable inference (598c931)
• Update upperbounds on pydantic version to < 2.10 to mitigate version comparison checks (c13b6a8)

Documentation

• A comment for field api_key_config in message .google.cloud.aiplatform.v1beta1.JiraSource is changed (d7dff72)
• A comment for field class_method in message .google.cloud.aiplatform.v1beta1.StreamQueryReasoningEngineRequest is changed (from steam_query to stream_query) (b7f9492)
• Updated example usage in docstring for rag_retrieval preview and GA (a1f8bc2)
• Updated example usage in docstring for rag_store preview and GA (a1f8bc2)

v1.73.0

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Features

• Add a nfs_mounts to RaySpec in PersistentResource API (6a22bef)
• Add a v1 UpdateEndpointLongRunning API (6a22bef)
• Add BatchCreateFeatures rpc to feature_registry_service.proto (68fc5f2)
• Add BYOSA field to tuning_job (68fc5f2)
• Add BYOSA field to tuning_job (68fc5f2)
• Add COMET and MetricX to the evaluation SDK (4135810)
• Add Create FeatureMonitor function to FeatureGroup in Vertex AI SDK (285ec2c)
• Add CustomEnvironmentSpec to NotebookExecutionJob (6a22bef)
• Add CustomEnvironmentSpec to NotebookExecutionJob (6a22bef)
• Add default_runtime in Vertex Pipeline SDK preview. (44587ec)
• Add fast_tryout_enabled to FasterDeploymentConfig v1 proto (68fc5f2)
• Add FeatureMonitor to FeatureGroup in Vertex AI SDK (f2233ce)
• Add PSC automation support to matching engine index endpoint deploy_index(), find_neighbors(), match(), and read_index_datapoints(). (3ab39a4)
• Add vertex_rag_source to create_feature_view method (ca61c5a)
• Adding fast_tryout_enabled option to Vertex SDK (fde1b96)
• Allow setting Vertex Model Garden source model name during model upload (3af9cc8)
• Allow user control which class methods to export via register_operations. The class methods spec will be changed according to user's register_operations. (74077b5)
• COMET added to evaluation service proto (68fc5f2)
• Expose system_labels field to model deployment APIs in Vertex public preview SDK (13cede4)
• Expose system_labels field to model deployment APIs in Vertex Python SDK (75655af)
• GenAI - Grounding - Added grounding dynamic_retrieval config to Vertex SDK (c39334a)
• GenAI Evaluation: Release GenAI Evaluation SDK Agent Evaluation features to vertexai.preview module. (41cd5a8)
• MetricX added to evaluation service proto (68fc5f2)
• Trajectory eval metrics added to evaluation service proto (6a22bef)
• Vision Models - Add support for Imagen 3 Capabilities to Vertex SDK (9a30c31)

Bug Fixes

• GenAI - Fixed GAPIC-renamed keys (keys with trailing underscore) in structures returned by the to_dict methods. (9d00424)
• Implementation of proto conversion in reasoning engine utils when message is not specified (99fafe9)
• Remove check on serving_container_image_uri when artifact_uri and local_model is given (ccd89b4)

Documentation

• Automatic Function calling comment update (91f85ac)
• Clarity and typo fixes for documentation (6a22bef)
• Fix example rpc naming (6a22bef)
• GenAI - Grounding - Added sample for grounding with Google Search to the Vertex GenAI SDK README. (4bf9816)

v1.72.0

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Features

• Add AdvancedCompleteQuery API (169dd44)
• Add BatchCreateFeatures rpc to feature_registry_service.proto (acf3113)
• Add BillingEstimation in data store (169dd44)
• Add code execution tool API (169dd44)
• Add fast_tryout_enabled to FasterDeploymentConfig message in aiplatform v1beta1 endpoint.proto (169dd44)
• Add Feature Monitoring API to Feature Store (acf3113)
• Add field protobuf_pythonic_types_enabled to message ExperimentalFeatures (acf3113)
• Add GroundedGenerationService API (169dd44)
• Add lite search API to allow public website search with API key (169dd44)
• Add new PscInterfaceConfig field to custom_job.proto (169dd44)
• Add one_box_page_size on search (169dd44)
• Add Sitemap APIs to preview channel (169dd44)
• Add StopNotebookRuntime method (169dd44)
• Add StopNotebookRuntime method (169dd44)
• Add system labels field to model garden deployments (acf3113)
• Add UpdateEndpointLongRunning API in v1beta1 version (169dd44)
• Adding fast_tryout_enabled option to Vertex public preview SDK (98288b8)
• Increase the upperbounds on langchain dependencies to support v0.3+ (1fca9c0)
• Support advanced boost search (169dd44)
• Support Google Workspace search (169dd44)
• Support natural language understanding search (169dd44)
• Support query regex in control match rules (169dd44)
• Support search personalization to preview channel (169dd44)

Bug Fixes

• Add timeout to prediction rawPredict/streamRawPredict (b7de16a)
• Convert float values with no decimals to integers in FunctionCall. (a1857ed)
• Deepcopy error from baseline_model in pairwiseMetric (ccc5c85)

Documentation

• A comment for field feature_group_id in message .google.cloud.aiplatform.v1.CreateFeatureGroupRequest is changed (acf3113)
• A comment for field unit in message .google.api.QuotaLimit is changed (acf3113)
• A comment for message BatchCreateFeaturesRequest is modified to call out BatchCreateFeatures (acf3113)
• Deprecate asynchronous mode in answer generation (169dd44)
• Deprecate extractive_answers in answer generation (169dd44)
• Keep the API doc up-to-date with recent changes (169dd44)
• samples: Fixed Vertex AI Vector Search Create Index index_update_method (7dff586)
• Update documentation (169dd44)
• Update feature creation message commentary (acf3113)

v1.71.1

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Bug Fixes

• Audio_timestamp is supported only for some of the models (df7269e)
• Ignore AttributeError exception when importing google.auth.aio (832fe60)
• System test case media input file non existent (c0718e1)

v1.71.0

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Features

• Add text field for Grounding metadata support chunk output (8a65b1d)
• Add audio_timestamp to GenerationConfig (8a65b1d)
• Add private async REST support for transport override (c0b31e2)
• Add support for self-signed JWT for queries on private endpoints (5025d03)
• Add support for task type (CODE_RETRIEVAL_QUERY) through get_embeddings. (7246497)
• From vertexai.batch_prediction import BatchPredictionJob (fe53922)
• GenAI - add labels (92c13dd)
• GenAI - Added audio_timestamp to GenerationConfig. (91c2120)
• GenAI - Added Anthropic models support in GenAI batch prediction (0866009)
• GenAI - Tuning - Added support for tuned model rebasing. Added rebase_tuned_model to vertexai.preview.tuning.sft. (2cef97f)
• Introduce DefaultRuntime to PipelineJob (8a65b1d)
• Release API key support for GenerateContent to Public Preview (a4d4e46)
• Support customizing bring-your-own-response eval use case to use any columns (3e7bf81)
• Support PSC-I ingress in Ray Client (da76253)
• Support tuning new text & code embedding model in LLM SDK. (4268f28)
• Update Experiment run names to be compatible with One Platform API (c4b9ec2)
• Vision Models - onboard Image Segmentation. (ae63a43)

Bug Fixes

• Add deprecation warning to Ray version 2.9.3 (0ce106b)

Documentation

• A comment for field partner_model_tuning_spec in message .google.cloud.aiplatform.v1beta1.TuningJob is changed (#​4538) (914c63c)
• Comment update (b04196b)
• Update the documentation for the tabular_dataset class (82bb938)

v1.70.0

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Features

• Add a dynamic retrieval API (44df243)
• Add enable_secure_private_service_connect in service attachment (44df243)
• Add new PscInterfaceConfig field to pipeline_job.proto (44df243)
• Add psc_automation_configs to DeployIndex v1 (44df243)
• Add TunedModelRef and RebaseTunedModel Api for Vertex GenAiTuningService (44df243)
• Add TunedModelRef and RebaseTunedModel Api for Vertex GenAiTuningService (44df243)
• Add update_corpus method for vertex rag (09353cf)
• Automatically end Experiment runs when Tensorboard CustomJob is complete (30cf221)
• Vision Models - Add new safety filter levels to Vertex AI Image Generation API. (b1d5007)

Bug Fixes

• Annotate PipelineJob and PipelineTaskRerunConfig fields as optional (44df243)
• Update the docstring for LangchainAgent (f7fe2b0)

Documentation

• Add sample to retrieve experiment backing tensorboard resource name (138dc1a)
• GenAI - update comments in GenerationConfig property (c670eeb)
• Limit comment SupervisedTuningSpec for 1p tuning (44df243)

googleapis/google-cloud-python (google-cloud-resource-manager)

v1.14.0: google-cloud-resource-manager: v1.14.0

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Features

• Add support for opt-in debug logging (8e6b0cc)

Bug Fixes

• Fix typing issue with gRPC metadata when key ends in -bin (8e6b0cc)

v1.13.1: google-cloud-artifact-registry: v1.13.1

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Bug Fixes

• disable universe-domain validation (#​13242) (b479ff8)

v1.13.0: google-cloud-resource-manager: v1.13.0

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Features

• Add support for Python 3.13 (#​13209) (5f2e30d)

googleapis/langchain-google-cloud-sql-pg-python (langchain-google-cloud-sql-pg)

v0.12.0

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Features

• Add engine_args argument to engine creation functions (#​242) (5f2f7b7)

v0.11.1

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Documentation

• Add benefits to readme (#​224) (f791be0)
• Adding a readme to itemise sample notebooks. (#​225) (4ce8be3)

v0.11.0

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Features

• Remove support for Python 3.8 (#​216) (1737adc)

python/mypy (mypy)

v1.14.1

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v1.14.0

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v1.13.0

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v1.12.1

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• Fix crash when showing partially analyzed type in error message (Ivan Levkivskyi, PR 17961)
• Fix iteration over union (when self type is involved) (Shantanu, PR 17976)
• Fix type object with type var default in union context (Jukka Lehtosalo, PR 17991)
• Revert change to os.path stubs affecting use of os.PathLike[Any] (Shantanu, PR 17995)

v1.12.0

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pgvector/pgvector-python (pgvector)

v0.3.6

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• Added arrays option for Psycopg 2

v0.3.5

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• Added avg function with type casting to SQLAlchemy
• Added globally option for Psycopg 2

pytest-dev/pytest (pytest)

v8.3.4

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pytest 8.3.4 (2024-12-01)

Bug fixes

• #​12592: Fixed KeyError{.interpreted-text role="class"} crash when using --import-mode=importlib in a directory layout where a directory contains a child directory with the same name.

• #​12818: Assertion rewriting now preserves the source ranges of the original instructions, making it play well with tools that deal with the AST, like executing.

• #​12849: ANSI escape codes for colored output now handled correctly in pytest.fail{.interpreted-text role="func"} with [pytrace=False]{.title-ref}.

• #​9353: pytest.approx{.interpreted-text role="func"} now uses strict equality when given booleans.

Improved documentation

• #​10558: Fix ambiguous docstring of pytest.Config.getoption{.interpreted-text role="func"}.

• #​10829: Improve documentation on the current handling of the --basetemp option and its lack of retention functionality (temporary directory location and retention{.interpreted-text role="ref"}).

• #​12866: Improved cross-references concerning the recwarn{.interpreted-text role="fixture"} fixture.

• #​12966: Clarify filterwarnings{.interpreted-text role="ref"} docs on filter precedence/order when using multiple @pytest.mark.filterwarnings <pytest.mark.filterwarnings ref>{.interpreted-text role="ref"} marks.

Contributor-facing changes

• #​12497: Fixed two failing pdb-related tests on Python 3.13.

pytest-dev/pytest-asyncio (pytest-asyncio)

v0.25.1: pytest-asyncio 0.25.1

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• Fixes an issue that caused a broken event loop when a function-scoped test was executed in between two tests with wider loop scope #​950
• Improves test collection speed in auto mode #​1020
• Corrects the warning that is emitted upon redefining the event_loop fixture

v0.25.0: pytest-asyncio 0.25.0

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0.25.0 (2024-12-13)

• Deprecated: Added warning when asyncio test requests async @pytest.fixture in strict mode. This will become an error in a future version of flake8-asyncio. #​979
• Updates the error message about pytest.mark.asyncio's scope keyword argument to say loop_scope instead. #​1004
• Verbose log displays correct parameter name: asyncio_default_fixture_loop_scope #​990
• Propagates contextvars set in async fixtures to other fixtures and tests on Python 3.11 and above. #​1008

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