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build(deps): bump the pip-minor-patch-updates group across 2 directories with 4 updates#67

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build(deps): bump the pip-minor-patch-updates group across 2 directories with 4 updates#67
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dependabot/pip/pip-minor-patch-updates-0ee318705f

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Bumps the pip-minor-patch-updates group with 2 updates in the / directory: mypy and ruff.
Bumps the pip-minor-patch-updates group with 2 updates in the /src/sample_pytorch_gpu_project/.devcontainer directory: mlflow and azureml-mlflow.

Updates mypy from 1.13.0 to 1.14.1

Changelog

Sourced from mypy's changelog.

Mypy Release Notes

Next release

Drop Support for Python 3.8

Mypy no longer supports running with Python 3.8, which has reached end-of-life. When running mypy with Python 3.9+, it is still possible to type check code that needs to support Python 3.8 with the --python-version 3.8 argument. Support for this will be dropped in the first half of 2025!

Contributed by Marc Mueller (PR 17492).

Mypyc accelerated mypy wheels for aarch64

Mypy can compile itself to C extension modules using mypyc. This makes mypy 3-5x faster than if mypy is interpreted with pure Python. We now build and upload mypyc accelerated mypy wheels for manylinux_aarch64 to PyPI, making it easy for users on such platforms to realise this speedup.

Contributed by Christian Bundy (PR mypy_mypyc-wheels#76)

--strict-bytes

By default, mypy treats an annotation of bytes as permitting bytearray and memoryview. PEP 688 specified the removal of this special case. Use this flag to disable this behavior. --strict-bytes will be enabled by default in mypy 2.0.

Contributed by Ali Hamdan (PR 18137) and Shantanu Jain (PR 13952).

Improvements to partial type handling in loops

This change results in mypy better modelling control flow within loops and hence detecting several issues it previously did not detect. In some cases, this change may require use of an additional explicit annotation of a variable.

Contributed by Christoph Tyralla (PR 18180).

(Speaking of partial types, another reminder that mypy plans on enabling --local-partial-types by default in mypy 2.0).

Mypy 1.14

We’ve just uploaded mypy 1.14 to the Python Package Index (PyPI). Mypy is a static type checker for Python. This release includes new features and bug fixes. You can install it as follows:

python3 -m pip install -U mypy

... (truncated)

Commits

Updates ruff from 0.8.1 to 0.8.4

Release notes

Sourced from ruff's releases.

0.8.4

Release Notes

Preview features

  • [airflow] Extend AIR302 with additional functions and classes (#15015)
  • [airflow] Implement moved-to-provider-in-3 for modules that has been moved to Airflow providers (AIR303) (#14764)
  • [flake8-use-pathlib] Extend check for invalid path suffix to include the case "." (PTH210) (#14902)
  • [perflint] Fix panic in PERF401 when list variable is after the for loop (#14971)
  • [perflint] Simplify finding the loop target in PERF401 (#15025)
  • [pylint] Preserve original value format (PLR6104) (#14978)
  • [ruff] Avoid false positives for RUF027 for typing context bindings (#15037)
  • [ruff] Check for ambiguous pattern passed to pytest.raises() (RUF043) (#14966)

Rule changes

  • [flake8-bandit] Check S105 for annotated assignment (#15059)
  • [flake8-pyi] More autofixes for redundant-none-literal (PYI061) (#14872)
  • [pydocstyle] Skip leading whitespace for D403 (#14963)
  • [ruff] Skip SQLModel base classes for mutable-class-default (RUF012) (#14949)

Bug

  • [perflint] Parenthesize walrus expressions in autofix for manual-list-comprehension (PERF401) (#15050)

Server

  • Check diagnostic refresh support from client capability which enables dynamic configuration for various editors (#15014)

Contributors

... (truncated)

Changelog

Sourced from ruff's changelog.

0.8.4

Preview features

  • [airflow] Extend AIR302 with additional functions and classes (#15015)
  • [airflow] Implement moved-to-provider-in-3 for modules that has been moved to Airflow providers (AIR303) (#14764)
  • [flake8-use-pathlib] Extend check for invalid path suffix to include the case "." (PTH210) (#14902)
  • [perflint] Fix panic in PERF401 when list variable is after the for loop (#14971)
  • [perflint] Simplify finding the loop target in PERF401 (#15025)
  • [pylint] Preserve original value format (PLR6104) (#14978)
  • [ruff] Avoid false positives for RUF027 for typing context bindings (#15037)
  • [ruff] Check for ambiguous pattern passed to pytest.raises() (RUF043) (#14966)

Rule changes

  • [flake8-bandit] Check S105 for annotated assignment (#15059)
  • [flake8-pyi] More autofixes for redundant-none-literal (PYI061) (#14872)
  • [pydocstyle] Skip leading whitespace for D403 (#14963)
  • [ruff] Skip SQLModel base classes for mutable-class-default (RUF012) (#14949)

Bug

  • [perflint] Parenthesize walrus expressions in autofix for manual-list-comprehension (PERF401) (#15050)

Server

  • Check diagnostic refresh support from client capability which enables dynamic configuration for various editors (#15014)

0.8.3

Preview features

  • Fix fstring formatting removing overlong implicit concatenated string in expression part (#14811)
  • [airflow] Add fix to remove deprecated keyword arguments (AIR302) (#14887)
  • [airflow]: Extend rule to include deprecated names for Airflow 3.0 (AIR302) (#14765 and #14804)
  • [flake8-bugbear] Improve error messages for except* (B025, B029, B030, B904) (#14815)
  • [flake8-bugbear] itertools.batched() without explicit strict (B911) (#14408)
  • [flake8-use-pathlib] Dotless suffix passed to Path.with_suffix() (PTH210) (#14779)
  • [pylint] Include parentheses and multiple comparators in check for boolean-chained-comparison (PLR1716) (#14781)
  • [ruff] Do not simplify round() calls (RUF046) (#14832)
  • [ruff] Don't emit used-dummy-variable on function parameters (RUF052) (#14818)
  • [ruff] Implement if-key-in-dict-del (RUF051) (#14553)
  • [ruff] Mark autofix for RUF052 as always unsafe (#14824)
  • [ruff] Teach autofix for used-dummy-variable about TypeVars etc. (RUF052) (#14819)

Rule changes

  • [flake8-bugbear] Offer unsafe autofix for no-explicit-stacklevel (B028) (#14829)
  • [flake8-pyi] Skip all type definitions in string-or-bytes-too-long (PYI053) (#14797)
  • [pyupgrade] Do not report when a UTF-8 comment is followed by a non-UTF-8 one (UP009) (#14728)

... (truncated)

Commits
  • 3bb0dac Bump version to 0.8.4 (#15064)
  • 40cba5d [red-knot] Cleanup various todo_type!() messages (#15063)
  • 596d80c [perflint] Parenthesize walrus expressions in autofix for `manual-list-comp...
  • d8b9a36 Disable actionlint hook by default when running pre-commit locally (#15061)
  • 85e71ba [flake8-bandit] Check S105 for annotated assignment (#15059)
  • 2802cbd Don't special-case class instances in unary expression inference (#15045)
  • ed2bce6 [red-knot] Report invalid exceptions (#15042)
  • f0012df Fix typos in RUF043.py (#15044)
  • 0fc4e8f Introduce InferContext (#14956)
  • ac81c72 [ruff] Ambiguous pattern passed to pytest.raises() (RUF043) (#14966)
  • Additional commits viewable in compare view

Updates mlflow from 2.15.1 to 2.19.0

Release notes

Sourced from mlflow's releases.

MLflow 2.19.0

We are excited to announce the release of MLflow 2.19.0! This release includes a number of significant features, enhancements, and bug fixes.

Major New Features

  • ChatModel enhancements - ChatModel now adopts ChatCompletionRequest and ChatCompletionResponse as its new schema. The predict_stream interface uses ChatCompletionChunk to deliver true streaming responses. Additionally, the custom_inputs and custom_outputs fields in ChatModel now utilize AnyType, enabling support for a wider variety of data types. Note: In a future version of MLflow, ChatParams (and by extension, ChatCompletionRequest) will have the default values for n, temperature, and stream removed. (#13782, #13857, @​stevenchen-db)

  • Tracing improvements - MLflow Tracing now supports both automatic and manual tracing for DSPy, LlamaIndex and Langchain flavors. Tracing feature is also auto-enabled for mlflow evaluation for all supported flavors. (#13790, #13793, #13795, #13897, @​B-Step62)

  • New Tracing Integrations - MLflow Tracing now supports CrewAI and Anthropic, enabling a one-line, fully automated tracing experience. (#13903, @​TomeHirata, #13851, @​gabrielfu)

  • Any Type in model signature - MLflow now supports AnyType in model signature. It can be used to host any data types that were not supported before. (#13766, @​serena-ruan)

Other Features:

  • [Tracking] Add update_current_trace API for adding tags to an active trace. (#13828, @​B-Step62)
  • [Deployments] Update databricks deployments to support AI gateway & additional update endpoints (#13513, @​djliden)
  • [Models] Support uv in mlflow.models.predict (#13824, @​serena-ruan)
  • [Models] Add type hints support including pydantic models (#13924, @​serena-ruan)
  • [Tracking] Add the trace.search_spans() method for searching spans within traces (#13984, @​B-Step62)

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#13972, #13968, #13917, #13912, #13906, #13846, @​serena-ruan; #13969, #13959, #13957, #13958, #13925, #13882, #13879, #13881, #13869, #13870, #13868, #13854, #13849, #13847, #13836, #13823, #13811, #13820, #13775, #13768, #13764, @​harupy; #13960, #13914, #13862, #13892, #13916, #13918, #13915, #13878, #13891, #13863, #13859, #13850, #13844, #13835, #13818, #13762, @​B-Step62; #13913, #13848, #13774, @​TomeHirata; #13936, #13954, #13883, @​daniellok-db; #13947, @​AHB102; #13929, #13922, @​Ajay-Satish-01; #13857, @​stevenchen-db; #13773, @​BenWilson2; #13705, @​williamjamir; #13745, #13743, @​WeichenXu123; #13895, @​chenmoneygithub; #14023, @​theBeginner86

MLflow 2.19.0rc0

We are excited to announce the release of MLflow 2.19.0rc0! This release includes a number of significant features, enhancements, and bug fixes.

Major New Features

  • ChatModel enhancements - ChatModel now adopts ChatCompletionRequest and ChatCompletionResponse as its new schema. The predict_stream interface uses ChatCompletionChunk to deliver true streaming responses. Additionally, the custom_inputs and custom_outputs fields in ChatModel now utilize AnyType, enabling support for a wider variety of data types. (#13782, #13857, @​stevenchen-db)
  • Any Type in model signature - MLflow now supports AnyType in model signature. It can be used to host any data types that were not supported before. (#13766, @​serena-ruan)
  • Tracing improvements - MLflow Tracing now supports both automatic and manual tracing for DSPy, LlamaIndex and Langchain flavors. Tracing feature is also auto-enabled for mlflow evaluation for all supported flavors. (#13790, #13793, #13795, #13897, @​B-Step62)
  • New Tracing Integrations - MLflow Tracing now supports CrewAI and Anthropic, enabling a one-line, fully automated tracing experience. (#13903, @​TomeHirata, #13851, @​gabrielfu)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.19.0 (2024-12-11)

We are excited to announce the release of MLflow 2.19.0! This release includes a number of significant features, enhancements, and bug fixes.

Major New Features

  • ChatModel enhancements - ChatModel now adopts ChatCompletionRequest and ChatCompletionResponse as its new schema. The predict_stream interface uses ChatCompletionChunk to deliver true streaming responses. Additionally, the custom_inputs and custom_outputs fields in ChatModel now utilize AnyType, enabling support for a wider variety of data types. Note: In a future version of MLflow, ChatParams (and by extension, ChatCompletionRequest) will have the default values for n, temperature, and stream removed. (#13782, #13857, @​stevenchen-db)

  • Tracing improvements - MLflow Tracing now supports both automatic and manual tracing for DSPy, LlamaIndex and Langchain flavors. Tracing feature is also auto-enabled for mlflow evaluation for all supported flavors. (#13790, #13793, #13795, #13897, @​B-Step62)

  • New Tracing Integrations - MLflow Tracing now supports CrewAI and Anthropic, enabling a one-line, fully automated tracing experience. (#13903, @​TomeHirata, #13851, @​gabrielfu)

  • Any Type in model signature - MLflow now supports AnyType in model signature. It can be used to host any data types that were not supported before. (#13766, @​serena-ruan)

Other Features:

  • [Tracking] Add update_current_trace API for adding tags to an active trace. (#13828, @​B-Step62)
  • [Deployments] Update databricks deployments to support AI gateway & additional update endpoints (#13513, @​djliden)
  • [Models] Support uv in mlflow.models.predict (#13824, @​serena-ruan)
  • [Models] Add type hints support including pydantic models (#13924, @​serena-ruan)
  • [Tracking] Add the trace.search_spans() method for searching spans within traces (#13984, @​B-Step62)

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#13972, #13968, #13917, #13912, #13906, #13846, @​serena-ruan; #13969, #13959, #13957, #13958, #13925, #13882, #13879, #13881, #13869, #13870, #13868, #13854, #13849, #13847, #13836, #13823, #13811, #13820, #13775, #13768, #13764, @​harupy; #13960, #13914, #13862, #13892, #13916, #13918, #13915, #13878, #13891, #13863, #13859, #13850, #13844, #13835, #13818, #13762, @​B-Step62; #13913, #13848, #13774, @​TomeHirata; #13936, #13954, #13883, @​daniellok-db; #13947, @​AHB102; #13929, #13922, @​Ajay-Satish-01; #13857, @​stevenchen-db; #13773, @​BenWilson2; #13705, @​williamjamir; #13745, #13743, @​WeichenXu123; #13895, @​chenmoneygithub; #14023, @​theBeginner86

2.18.0 (2024-11-18)

We are excited to announce the release of MLflow 2.18.0! This release includes a number of significant features, enhancements, and bug fixes.

Python Version Update

Python 3.8 is now at an end-of-life point. With official support being dropped for this legacy version, MLflow now requires Python 3.9 as a minimum supported version.

... (truncated)

Commits
  • ad17101 Run python3 dev/update_mlflow_versions.py pre-release ... (#14055)
  • 31962bf Drop support for LightGBM < 3.3 (#14032)
  • 0e0b689 Use mean_squared_error if root_mean_squared_error is unavailable (#14040)
  • a3dc2e0 Add warning for removing default values in ChatParams (#14043)
  • c95c4a4 Temporarily pin sklearn to <1.6 in test requirements (#14038)
  • dabf714 Fix eval test failure (#14036)
  • c94bfc0 Make the source in Assessment optional & add CODE as a new AssessmentSourceTy...
  • 168a859 Remove deprecated squared parameter (#14028)
  • 16f550e return empty array when DatabricksSDKModelsArtifactRepository.list_artifacts ...
  • 84579de [tracing] Fix Tracing section (#14023)
  • Additional commits viewable in compare view

Updates azureml-mlflow from 1.58.0.post3 to 1.59.0.post1

Commits

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@dependabot
build(deps): bump the pip-minor-patch-updates group across 2 director…
b45ad40 
…ies with 4 updates

Bumps the pip-minor-patch-updates group with 2 updates in the / directory: [mypy](https://github.com/python/mypy) and [ruff](https://github.com/astral-sh/ruff).
Bumps the pip-minor-patch-updates group with 2 updates in the /src/sample_pytorch_gpu_project/.devcontainer directory: [mlflow](https://github.com/mlflow/mlflow) and [azureml-mlflow](https://github.com/Azure/MachineLearningNotebooks).


Updates `mypy` from 1.13.0 to 1.14.1
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](python/mypy@v1.13.0...v1.14.1)

Updates `ruff` from 0.8.1 to 0.8.4
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.8.1...0.8.4)

Updates `mlflow` from 2.15.1 to 2.19.0
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.15.1...v2.19.0)

Updates `azureml-mlflow` from 1.58.0.post3 to 1.59.0.post1
- [Release notes](https://github.com/Azure/MachineLearningNotebooks/releases)
- [Commits](https://github.com/Azure/MachineLearningNotebooks/commits)

---
updated-dependencies:
- dependency-name: mypy
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: pip-minor-patch-updates
- dependency-name: ruff
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: pip-minor-patch-updates
- dependency-name: mlflow
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-minor-patch-updates
- dependency-name: azureml-mlflow
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-minor-patch-updates
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jan 1, 2025
@fujikosu fujikosu merged commit 98977f6 into main Jan 15, 2025
3 checks passed
@fujikosu fujikosu deleted the dependabot/pip/pip-minor-patch-updates-0ee318705f branch January 15, 2025 01:10
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