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build(deps): bump the pip-minor-patch-updates group across 2 directories with 7 updates#105

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Bumps the pip-minor-patch-updates group with 3 updates in the / directory: mypy, pre-commit and ruff.
Bumps the pip-minor-patch-updates group with 4 updates in the /src/sample_pytorch_gpu_project/.devcontainer directory: torch, torchvision, mlflow and azureml-mlflow.

Updates mypy from 1.18.2 to 1.19.0

Changelog

Sourced from mypy's changelog.

Mypy Release Notes

Next Release

Drop Support for Python 3.9

Mypy no longer supports running with Python 3.9, which has reached end-of-life. When running mypy with Python 3.10+, it is still possible to type check code that needs to support Python 3.9 with the --python-version 3.9 argument. Support for this will be dropped in the first half of 2026!

Contributed by Marc Mueller (PR 20156).

Mypy 1.19

We’ve just uploaded mypy 1.19.0 to the Python Package Index (PyPI). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows:

python3 -m pip install -U mypy

You can read the full documentation for this release on Read the Docs.

Python 3.9 Support Ending Soon

This is the last mypy feature release that supports Python 3.9, which reached end of life in October 2025.

Performance Improvements

  • Switch to a more dynamic SCC processing logic (Ivan Levkivskyi, PR 20053)
  • Speed up type aliases (Ivan Levkivskyi, PR 19810)

Fixed‑Format Cache Improvements

Mypy uses a cache by default to speed up incremental runs by reusing partial results from earlier runs. Mypy 1.18 added a new binary fixed-format cache representation as an experimental feature. The feature is no longer experimental, and we are planning to enable it by default in a future mypy release (possibly 1.20), since it's faster and uses less space than the original, JSON-based cache format. Use --fixed-format-cache to enable the fixed-format cache.

Mypy now has an extra dependency on the librt PyPI package, as it's needed for cache serialization and deserialization.

Mypy ships with a tool to convert fixed-format cache files to the old JSON format. Example of how to use this:

$ python -m mypy.exportjson .mypy_cache/.../my_module.data.ff

... (truncated)

Commits

Updates pre-commit from 4.3.0 to 4.5.0

Release notes

Sourced from pre-commit's releases.

pre-commit v4.5.0

Features

pre-commit v4.4.0

Features

Fixes

Changelog

Sourced from pre-commit's changelog.

4.5.0 - 2025-11-22

Features

4.4.0 - 2025-11-08

Features

Fixes

Commits
  • 1af6c8f v4.5.0
  • 3358a3b Merge pull request #3585 from pre-commit/hazmat
  • bdf6879 add pre-commit hazmat
  • e436690 Merge pull request #3584 from pre-commit/exitstack
  • 8d34f95 use ExitStack instead of start + stop
  • 9c7ea88 Merge pull request #3583 from pre-commit/forward-compat-map-manifest
  • 844dacc add forward-compat error message
  • 6a1d543 Merge pull request #3582 from pre-commit/move-gc-back
  • 66278a9 move logic for gc back to commands.gc
  • 1b32c50 Merge pull request #3579 from pre-commit/pre-commit-ci-update-config
  • Additional commits viewable in compare view

Updates ruff from 0.14.3 to 0.14.7

Release notes

Sourced from ruff's releases.

0.14.7

Release Notes

Released on 2025-11-28.

Preview features

  • [flake8-bandit] Handle string literal bindings in suspicious-url-open-usage (S310) (#21469)
  • [pylint] Fix PLR1708 false positives on nested functions (#21177)
  • [pylint] Fix suppression for empty dict without tuple key annotation (PLE1141) (#21290)
  • [ruff] Add rule RUF066 to detect unnecessary class properties (#21535)
  • [ruff] Catch more dummy variable uses (RUF052) (#19799)

Bug fixes

  • [server] Set severity for non-rule diagnostics (#21559)
  • [flake8-implicit-str-concat] Avoid invalid fix in (ISC003) (#21517)
  • [parser] Fix panic when parsing IPython escape command expressions (#21480)

CLI

  • Show partial fixability indicator in statistics output (#21513)

Contributors

Install ruff 0.14.7

Install prebuilt binaries via shell script

curl --proto '=https' --tlsv1.2 -LsSf https://github.com/astral-sh/ruff/releases/download/0.14.7/ruff-installer.sh | sh

Install prebuilt binaries via powershell script

powershell -ExecutionPolicy Bypass -c "irm https://github.com/astral-sh/ruff/releases/download/0.14.7/ruff-installer.ps1 | iex"

... (truncated)

Changelog

Sourced from ruff's changelog.

0.14.7

Released on 2025-11-28.

Preview features

  • [flake8-bandit] Handle string literal bindings in suspicious-url-open-usage (S310) (#21469)
  • [pylint] Fix PLR1708 false positives on nested functions (#21177)
  • [pylint] Fix suppression for empty dict without tuple key annotation (PLE1141) (#21290)
  • [ruff] Add rule RUF066 to detect unnecessary class properties (#21535)
  • [ruff] Catch more dummy variable uses (RUF052) (#19799)

Bug fixes

  • [server] Set severity for non-rule diagnostics (#21559)
  • [flake8-implicit-str-concat] Avoid invalid fix in (ISC003) (#21517)
  • [parser] Fix panic when parsing IPython escape command expressions (#21480)

CLI

  • Show partial fixability indicator in statistics output (#21513)

Contributors

0.14.6

Released on 2025-11-21.

Preview features

  • [flake8-bandit] Support new PySNMP API paths (S508, S509) (#21374)

Bug fixes

  • Adjust own-line comment placement between branches (#21185)
  • Avoid syntax error when formatting attribute expressions with outer parentheses, parenthesized value, and trailing comment on value (#20418)
  • Fix panic when formatting comments in unary expressions (#21501)
  • Respect fmt: skip for compound statements on a single line (#20633)
  • [refurb] Fix FURB103 autofix (#21454)

... (truncated)

Commits

Updates torch from 2.9.0 to 2.9.1

Release notes

Sourced from torch's releases.

PyTorch 2.9.1 Release, bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

Tracked Regressions

Significant Memory Regression in F.conv3d with bfloat16 Inputs in PyTorch 2.9.0 (#166643) This release provides work around this issue. If you are impacted please install nvidia-cudnn package version 9.15+ from pypi. (#166480) (#167111)

Torch.compile

Fix Inductor bug when compiling Gemma (#165601) Fix InternalTorchDynamoError in bytecode_transformation (#166036) Fix silent correctness error_on_graph_break bug where non-empty checkpoint results in unwanted graph break resumption (#166586) Improve performance by avoiding recompilation with mark_static_address with cudagraphs (#162208) Improve performance by caching get_free_symbol_uses in torch inductor (#166338) Fix fix registration design for inductor graph partition for vLLM (#166458) (#165815) (#165514) Fix warning spamming in torch.compile (#166993) Fix exception related to uninitialized tracer_output variable (#163169) Fix crash in torch.bmm and torch.compile with PyTorch release 2.9.0 (#166457)

Other

Fix warning spamming on new APIs to control TF32 behavior (#166956) Fix distributed crash with non-contiguous gather inputs (#166181) Fix indexing on large tensor causes invalid configuration argument (#166974) Fix numeric issue in CUDNN_ATTENTION (#166912) (#166570) Fix symmetric memory issue with fused_scaled_matmul_reduce_scatter (#165086) Improve libtorch stable ABI documentation (#163899) Fix image display on pypi project description section (#166404)

Commits

Updates torchvision from 0.24.0 to 0.24.1

Release notes

Sourced from torchvision's releases.

TorchVision 0.24.1 Release

This is a patch release, which is compatible with PyTorch 2.9.1. There are no new features added.

Commits

Updates mlflow from 3.5.1 to 3.6.0

Release notes

Sourced from mlflow's releases.

v3.6.0

MLflow 3.6.0 includes several major features and improvements for AI Observability, Experiment UI, Agent Evaluation and Deployment.

  • 🔗 Full OpenTelemetry Support in OSS Server: MLflow now offers comprehensive OpenTelemetry integration, allowing you to ingest OpenTelemetry traces into MLflow and use both SDK seamlessly together. (#18540, #18532, #18357, @​B-Step62, @​serena-ruan)
  • 💬 Session-level View in Trace UI: New chat sessions tab provides a dedicated view for organizing and analyzing related traces at the session level, making it easier to track conversational workflows. (#18594, @​daniellok-db)
  • 🧭 New experiment tab bar: The experiment tab navigation bar has been moved from the top of the page to the left side. As MLflow continues to grow, this layout provides more room to add new tabs while keeping everything easy to find. (#18594, @​daniellok-db)
  • 🚀 New Supported Frameworks in TypeScript Tracing SDK: Auto-tracing support for Vercel AI SDK, Gemini, Anthropic, Mastra in TypeScript, expanding MLflow's observability capabilities across popular JavaScript/TypeScript frameworks. (#18402, @​B-Step62)
  • 💰 Tracking Judge Cost and Traces: Comprehensive tracking of LLM judge evaluation costs and traces, providing visibility into evaluation expenses and performance with automatic cost calculation and rendering. (#18481, #18484, @​B-Step62)
  • ⚙️ Agent Server: New agent server infrastructure for managing and deploying scoring agents with enhanced orchestration capabilities. (#18596, @​bbqiu)

Breaking changes:

Features

... (truncated)

Changelog

Sourced from mlflow's changelog.

3.6.0 (2025-11-07)

MLflow 3.6.0 includes several major features and improvements for AI Observability, Experiment UI, Agent Evaluation and Deployment.

  • 🔗 Full OpenTelemetry Support in OSS Server: MLflow now offers comprehensive OpenTelemetry integration, allowing you to ingest OpenTelemetry traces into MLflow and use both SDK seamlessly together. (#18540, #18532, #18357, @​B-Step62, @​serena-ruan)
  • 💬 Session-level View in Trace UI: New chat sessions tab provides a dedicated view for organizing and analyzing related traces at the session level, making it easier to track conversational workflows. (#18594, @​daniellok-db)
  • 🧭 New experiment tab bar: The experiment tab navigation bar has been moved from the top of the page to the left side. As MLflow continues to grow, this layout provides more room to add new tabs while keeping everything easy to find. (#18594, @​daniellok-db)
  • 🚀 New Supported Frameworks in TypeScript Tracing SDK: Auto-tracing support for Vercel AI SDK, Gemini, Anthropic, Mastra in TypeScript, expanding MLflow's observability capabilities across popular JavaScript/TypeScript frameworks. (#18402, @​B-Step62)
  • 💰 Tracking Judge Cost and Traces: Comprehensive tracking of LLM judge evaluation costs and traces, providing visibility into evaluation expenses and performance with automatic cost calculation and rendering. (#18481, #18484, @​B-Step62)
  • ⚙️ Agent Server: New agent server infrastructure for managing and deploying scoring agents with enhanced orchestration capabilities. (#18596, @​bbqiu)

Breaking changes:

Features:

... (truncated)

Commits

Updates azureml-mlflow from 1.60.0 to 1.61.0

Commits

Most Recent Ignore Conditions Applied to This Pull Request
Dependency Name Ignore Conditions
azureml-mlflow [< 1.61, > 1.60.0]

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Dec 2, 2025
@dependabot
build(deps): bump the pip-minor-patch-updates group across 2 director…
adb2d0a 
…ies with 7 updates

Bumps the pip-minor-patch-updates group with 3 updates in the / directory: [mypy](https://github.com/python/mypy), [pre-commit](https://github.com/pre-commit/pre-commit) and [ruff](https://github.com/astral-sh/ruff).
Bumps the pip-minor-patch-updates group with 4 updates in the /src/sample_pytorch_gpu_project/.devcontainer directory: [torch](https://github.com/pytorch/pytorch), [torchvision](https://github.com/pytorch/vision), [mlflow](https://github.com/mlflow/mlflow) and [azureml-mlflow](https://github.com/Azure/MachineLearningNotebooks).


Updates `mypy` from 1.18.2 to 1.19.0
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](python/mypy@v1.18.2...v1.19.0)

Updates `pre-commit` from 4.3.0 to 4.5.0
- [Release notes](https://github.com/pre-commit/pre-commit/releases)
- [Changelog](https://github.com/pre-commit/pre-commit/blob/main/CHANGELOG.md)
- [Commits](pre-commit/pre-commit@v4.3.0...v4.5.0)

Updates `ruff` from 0.14.3 to 0.14.7
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.14.3...0.14.7)

Updates `torch` from 2.9.0 to 2.9.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.9.0...v2.9.1)

Updates `torchvision` from 0.24.0 to 0.24.1
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.24.0...v0.24.1)

Updates `mlflow` from 3.5.1 to 3.6.0
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v3.5.1...v3.6.0)

Updates `azureml-mlflow` from 1.60.0 to 1.61.0
- [Release notes](https://github.com/Azure/MachineLearningNotebooks/releases)
- [Commits](https://github.com/Azure/MachineLearningNotebooks/commits)

---
updated-dependencies:
- dependency-name: mypy
  dependency-version: 1.19.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: pip-minor-patch-updates
- dependency-name: pre-commit
  dependency-version: 4.5.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: pip-minor-patch-updates
- dependency-name: ruff
  dependency-version: 0.14.7
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: pip-minor-patch-updates
- dependency-name: torch
  dependency-version: 2.9.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-minor-patch-updates
- dependency-name: torchvision
  dependency-version: 0.24.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-minor-patch-updates
- dependency-name: mlflow
  dependency-version: 3.6.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-minor-patch-updates
- dependency-name: azureml-mlflow
  dependency-version: 1.61.0
  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 force-pushed the dependabot/pip/pip-minor-patch-updates-5d97d7c83a branch from ef968cc to adb2d0a Compare December 5, 2025 01:57
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fujikosu commented Dec 12, 2025

@dependabot recreate

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dependabot Bot commented on behalf of github Dec 12, 2025

Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot Bot closed this Dec 12, 2025
@dependabot dependabot Bot deleted the dependabot/pip/pip-minor-patch-updates-5d97d7c83a branch December 12, 2025 05:06
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