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build(deps): bump the pip-minor-patch-updates group across 2 directories with 7 updates + update base python version for CI to 3.11 #65

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merged 2 commits into from
Dec 6, 2024
Merged

build(deps): bump the pip-minor-patch-updates group across 2 directories with 7 updates + update base python version for CI to 3.11 #65

merged 2 commits into from
Dec 6, 2024

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edited by fujikosu
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Bumps the pip-minor-patch-updates group with 3 updates in the / directory: mypy, pytest 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 base python version for CI to 3.11
mlflow was downgraded to align with azureml-mlflow's version requirement

Updates mypy from 1.11.2 to 1.13.0

Changelog

Sourced from mypy's changelog.

Mypy Release Notes

Next release

Change to enum membership semantics

As per the updated typing specification for enums, enum members must be left unannotated.

class Pet(Enum):
    CAT = 1  # Member attribute
    DOG = 2  # Member attribute
    WOLF: int = 3  # New error: Enum members must be left unannotated
species: str  # Considered a non-member attribute

In particular, the specification change can result in issues in type stubs (.pyi files), since historically it was common to leave the value absent:

# In a type stub (.pyi file)
class Pet(Enum):
# Change in semantics: previously considered members, now non-member attributes
CAT: int
DOG: int
# Mypy will now issue a warning if it detects this situation in type stubs:
# > Detected enum "Pet" in a type stub with zero members.
# > There is a chance this is due to a recent change in the semantics of enum membership.
# > If so, use `member = value` to mark an enum member, instead of `member: type`

class Pet(Enum):
# As per the specification, you should now do one of the following:
DOG = 1  # Member attribute with value 1 and known type
WOLF = cast(int, ...)  # Member attribute with unknown value but known type
LION = ...  # Member attribute with unknown value and unknown type

Contributed by Terence Honles in PR 17207 and Shantanu Jain in PR 18068.

Mypy 1.13

We’ve just uploaded mypy 1.13 to the Python Package Index (PyPI). Mypy is a static type checker for Python. You can install it as follows:

python3 -m pip install -U mypy

... (truncated)

Commits

Updates pytest from 8.3.3 to 8.3.4

Release notes

Sourced from pytest's releases.

8.3.4

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.
Commits
  • 53f8b4e Update pypa/gh-action-pypi-publish to v1.12.2
  • 98dff36 Prepare release version 8.3.4
  • 1b474e2 approx: use exact comparison for bool (#13013)
  • b541721 docs: Fix wrong statement about sys.modules with importlib import mode (#1298...
  • 16cb87b pytest.fail: fix ANSI escape codes for colored output (#12959) (#12990)
  • be6bc81 Issue #12966 Clarify filterwarnings docs on precedence when using multiple ma...
  • 7aeb72b Improve docs on basetemp and retention (#12912) (#12928)
  • c875841 Merge pull request #12917 from pytest-dev/patchback/backports/8.3.x/ded1f44e5...
  • 6502816 Merge pull request #12913 from jakkdl/dontfailonbadpath
  • 52135b0 Merge pull request #12885 from The-Compiler/pdb-py311 (#12887)
  • Additional commits viewable in compare view

Updates ruff from 0.6.8 to 0.8.1

Release notes

Sourced from ruff's releases.

0.8.1

Release Notes

Preview features

  • Formatter: Avoid invalid syntax for format-spec with quotes for all Python versions (#14625)
  • Formatter: Consider quotes inside format-specs when choosing the quotes for an f-string (#14493)
  • Formatter: Do not consider f-strings with escaped newlines as multiline (#14624)
  • Formatter: Fix f-string formatting in assignment statement (#14454)
  • Formatter: Fix unnecessary space around power operator (**) in overlong f-string expressions (#14489)
  • [airflow] Avoid implicit schedule argument to DAG and @dag (AIR301) (#14581)
  • [flake8-builtins] Exempt private built-in modules (A005) (#14505)
  • [flake8-pytest-style] Fix pytest.mark.parametrize rules to check calls instead of decorators (#14515)
  • [flake8-type-checking] Implement runtime-cast-value (TC006) (#14511)
  • [flake8-type-checking] Implement unquoted-type-alias (TC007) and quoted-type-alias (TC008) (#12927)
  • [flake8-use-pathlib] Recommend Path.iterdir() over os.listdir() (PTH208) (#14509)
  • [pylint] Extend invalid-envvar-default to detect os.environ.get (PLW1508) (#14512)
  • [pylint] Implement len-test (PLC1802) (#14309)
  • [refurb] Fix bug where methods defined using lambdas were flagged by FURB118 (#14639)
  • [ruff] Auto-add r prefix when string has no backslashes for unraw-re-pattern (RUF039) (#14536)
  • [ruff] Implement invalid-assert-message-literal-argument (RUF040) (#14488)
  • [ruff] Implement unnecessary-nested-literal (RUF041) (#14323)
  • [ruff] Implement unnecessary-regular-expression (RUF055) (#14659)

Rule changes

  • Ignore more rules for stub files (#14541)
  • [pep8-naming] Eliminate false positives for single-letter names (N811, N814) (#14584)
  • [pyflakes] Avoid false positives in @no_type_check contexts (F821, F722) (#14615)
  • [ruff] Detect redirected-noqa in file-level comments (RUF101) (#14635)
  • [ruff] Mark fixes for unsorted-dunder-all and unsorted-dunder-slots as unsafe when there are complex comments in the sequence (RUF022, RUF023) (#14560)

Bug fixes

  • Avoid fixing code to None | None for redundant-none-literal (PYI061) and never-union (RUF020) (#14583, #14589)
  • [flake8-bugbear] Fix mutable-contextvar-default to resolve annotated function calls properly (B039) (#14532)
  • [flake8-pyi, ruff] Fix traversal of nested literals and unions (PYI016, PYI051, PYI055, PYI062, RUF041) (#14641)
  • [flake8-pyi] Avoid rewriting invalid type expressions in unnecessary-type-union (PYI055) (#14660)
  • [flake8-type-checking] Avoid syntax errors and type checking problem for quoted annotations autofix (TC003, TC006) (#14634)
  • [pylint] Do not wrap function calls in parentheses in the fix for unnecessary-dunder-call (PLC2801) (#14601)
  • [ruff] Handle attrs's auto_attribs correctly (RUF009) (#14520)

Contributors

... (truncated)

Changelog

Sourced from ruff's changelog.

0.8.1

Preview features

  • Formatter: Avoid invalid syntax for format-spec with quotes for all Python versions (#14625)
  • Formatter: Consider quotes inside format-specs when choosing the quotes for an f-string (#14493)
  • Formatter: Do not consider f-strings with escaped newlines as multiline (#14624)
  • Formatter: Fix f-string formatting in assignment statement (#14454)
  • Formatter: Fix unnecessary space around power operator (**) in overlong f-string expressions (#14489)
  • [airflow] Avoid implicit schedule argument to DAG and @dag (AIR301) (#14581)
  • [flake8-builtins] Exempt private built-in modules (A005) (#14505)
  • [flake8-pytest-style] Fix pytest.mark.parametrize rules to check calls instead of decorators (#14515)
  • [flake8-type-checking] Implement runtime-cast-value (TC006) (#14511)
  • [flake8-type-checking] Implement unquoted-type-alias (TC007) and quoted-type-alias (TC008) (#12927)
  • [flake8-use-pathlib] Recommend Path.iterdir() over os.listdir() (PTH208) (#14509)
  • [pylint] Extend invalid-envvar-default to detect os.environ.get (PLW1508) (#14512)
  • [pylint] Implement len-test (PLC1802) (#14309)
  • [refurb] Fix bug where methods defined using lambdas were flagged by FURB118 (#14639)
  • [ruff] Auto-add r prefix when string has no backslashes for unraw-re-pattern (RUF039) (#14536)
  • [ruff] Implement invalid-assert-message-literal-argument (RUF040) (#14488)
  • [ruff] Implement unnecessary-nested-literal (RUF041) (#14323)
  • [ruff] Implement unnecessary-regular-expression (RUF055) (#14659)

Rule changes

  • Ignore more rules for stub files (#14541)
  • [pep8-naming] Eliminate false positives for single-letter names (N811, N814) (#14584)
  • [pyflakes] Avoid false positives in @no_type_check contexts (F821, F722) (#14615)
  • [ruff] Detect redirected-noqa in file-level comments (RUF101) (#14635)
  • [ruff] Mark fixes for unsorted-dunder-all and unsorted-dunder-slots as unsafe when there are complex comments in the sequence (RUF022, RUF023) (#14560)

Bug fixes

  • Avoid fixing code to None | None for redundant-none-literal (PYI061) and never-union (RUF020) (#14583, #14589)
  • [flake8-bugbear] Fix mutable-contextvar-default to resolve annotated function calls properly (B039) (#14532)
  • [flake8-pyi, ruff] Fix traversal of nested literals and unions (PYI016, PYI051, PYI055, PYI062, RUF041) (#14641)
  • [flake8-pyi] Avoid rewriting invalid type expressions in unnecessary-type-union (PYI055) (#14660)
  • [flake8-type-checking] Avoid syntax errors and type checking problem for quoted annotations autofix (TC003, TC006) (#14634)
  • [pylint] Do not wrap function calls in parentheses in the fix for unnecessary-dunder-call (PLC2801) (#14601)
  • [ruff] Handle attrs's auto_attribs correctly (RUF009) (#14520)

0.8.0

Check out the blog post for a migration guide and overview of the changes!

Breaking changes

See also, the "Remapped rules" section which may result in disabled rules.

  • Default to Python 3.9

... (truncated)

Commits
  • b3b2c98 Update CHANGELOG.md with the new commits for 0.8.1 (#14664)
  • abb3c6e [flake8-pyi] Avoid rewriting invalid type expressions in `unnecessary-type-...
  • 224fe75 [ruff] Implement unnecessary-regular-expression (RUF055) (#14659)
  • dc29f52 [flake8-pyi, ruff] Fix traversal of nested literals and unions (PYI016,...
  • d9cbf2f Avoids unnecessary overhead for TC004, when TC001-003 are disabled (#14657)
  • 3f6c65e [red-knot] Fix merged type after if-else without explicit else branch (#14621)
  • 976c37a Bump version to 0.8.1 (#14655)
  • a378ff3 [red-knot] Fix Boolean flags in mdtests (#14654)
  • d8bca0d Fix bug where methods defined using lambdas were flagged by FURB118 (#14639)
  • 6f1cf5b [red-knot] Minor fix in MRO tests (#14652)
  • Additional commits viewable in compare view

Updates torch from 2.4.1 to 2.5.1

Release notes

Sourced from torch's releases.

PyTorch 2.5.1: bug fix release

This release is meant to fix the following regressions:

Besides the regression fixes, the release includes several documentation updates.

See release tracker pytorch/pytorch#132400 for additional information.

PyTorch 2.5.0 Release, SDPA CuDNN backend, Flex Attention

PyTorch 2.5 Release Notes

  • Highlights
  • Backwards Incompatible Change
  • Deprecations
  • New Features
  • Improvements
  • Bug fixes
  • Performance
  • Documentation
  • Developers
  • Security

Highlights

We are excited to announce the release of PyTorch® 2.5! This release features a new CuDNN backend for SDPA, enabling speedups by default for users of SDPA on H100s or newer GPUs. As well, regional compilation of torch.compile offers a way to reduce the cold start up time for torch.compile by allowing users to compile a repeated nn.Module (e.g. a transformer layer in LLM) without recompilations. Finally, TorchInductor CPP backend offers solid performance speedup with numerous enhancements like FP16 support, CPP wrapper, AOT-Inductor mode, and max-autotune mode. This release is composed of 4095 commits from 504 contributors since PyTorch 2.4. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve 2.5. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page. As well, please check out our new ecosystem projects releases with TorchRec and TorchFix.

Beta Prototype
CuDNN backend for SDPA FlexAttention
torch.compile regional compilation without recompilations Compiled Autograd
TorchDynamo added support for exception handling & MutableMapping types Flight Recorder
TorchInductor CPU backend optimization Max-autotune Support on CPU with GEMM Template
TorchInductor on Windows
FP16 support on CPU path for both eager mode and TorchInductor CPP backend
Autoload Device Extension
Enhanced Intel GPU support

*To see a full list of public feature submissions click here.

BETA FEATURES

[Beta] CuDNN backend for SDPA

The cuDNN "Fused Flash Attention" backend was landed for torch.nn.functional.scaled_dot_product_attention. On NVIDIA H100 GPUs this can provide up to 75% speed-up over FlashAttentionV2. This speedup is enabled by default for all users of SDPA on H100 or newer GPUs.

[Beta] torch.compile regional compilation without recompilations

Regional compilation without recompilations, via torch._dynamo.config.inline_inbuilt_nn_modules which default to True in 2.5+. This option allows users to compile a repeated nn.Module (e.g. a transformer layer in LLM) without recompilations. Compared to compiling the full model, this option can result in smaller compilation latencies with 1%-5% performance degradation compared to full model compilation.

... (truncated)

Commits

Updates torchvision from 0.19.1 to 0.20.1

Release notes

Sourced from torchvision's releases.

Torchvision 0.20 release

Highlights

Encoding / Decoding images

Torchvision is further extending its encoding/decoding capabilities. For this version, we added a WEBP decoder, and a batch JPEG decoder on CUDA GPUs, which can lead to 10X speed-ups over CPU decoding.

We have also improved the UX of our decoding APIs to be more user-friendly. The main entry point is now torchvision.io.decode_image(), and it can take as input either a path (as str or pathlib.Path), or a tensor containing the raw encoded data.

Read more on the docs!

We also added support for HEIC and AVIF decoding, but these are currently only available when building from source. We are working on making those available directly in the upcoming releases. Stay tuned!

Detailed changes

Bug Fixes

[datasets] Update URL of SBDataset train_noval (#8551) [datasets] EuroSAT: fix SSL certificate issues (#8563) [io] Check average_rate availability in video reader (#8548)

New Features

[io] Add batch JPEG GPU decoding (decode_jpeg()) (#8496) [io] Add WEBP image decoder: decode_image(), decode_webp() (#8527, #8612, #8610) [io] Add HEIC and AVIF decoders, only available when building from source (#8597, #8596, #8647, #8613, #8621)

Improvements

[io] Add support for decoding 16bits png (#8524) [io] Allow decoding functions to accept the mode parameter as a string (#8627) [io] Allow decode_image() to support paths (#8624) [io] Automatically send video to CPU in io.write_video (#8537) [datasets] Better progress bar for file downloading (#8556) [datasets] Add Path type annotation for ImageFolder (#8526) [ops] Register nms and roi_align Autocast policy for PyTorch Intel GPU backend (#8541) [transforms] Use Sequence for parameters type checking in transforms.RandomErase (#8615) [transforms] Support v2.functional.gaussian_blur backprop (#8486) [transforms] Expose transforms.v2 utils for writing custom transforms. (#8670) [utils] Fix f-string in color error message (#8639) [packaging] Revamped and improved debuggability of setup.py build (#8535, #8581, #8581, #8582, #8590, #8533, #8528, #8659) [Documentation] Various documentation improvements (#8605, #8611, #8506, #8507, #8539, #8512, #8513, #8583, #8633) [tests] Various tests improvements (#8580, #8553, #8523, #8617, #8518, #8579, #8558, #8617, #8641) [code quality] Various code quality improvements (#8552, #8555, #8516, #8526, #8602, #8615, #8639, #8532) [ci] #8562, #8644, #8592, #8542, #8594, #8530, #8656

... (truncated)

Commits

Updates azureml-mlflow from 1.57.0.post1 to 1.58.0.post3

Commits

@dependabot
build(deps): bump the pip-minor-patch-updates group across 2 director…
76e5213 
…ies with 7 updates

Bumps the pip-minor-patch-updates group with 3 updates in the / directory: [mypy](https://github.com/python/mypy), [pytest](https://github.com/pytest-dev/pytest) 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 1.11.2 to 1.13.0
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](python/mypy@v1.11.2...v1.13.0)

Updates `pytest` from 8.3.3 to 8.3.4
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](pytest-dev/pytest@8.3.3...8.3.4)

Updates `ruff` from 0.6.8 to 0.8.1
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.6.8...0.8.1)

Updates `torch` from 2.4.1 to 2.5.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.1...v2.5.1)

Updates `torchvision` from 0.19.1 to 0.20.1
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.19.1...v0.20.1)

Updates `mlflow` from 2.16.2 to 2.18.0
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.16.2...v2.18.0)

Updates `azureml-mlflow` from 1.57.0.post1 to 1.58.0.post3
- [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: pytest
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: pip-minor-patch-updates
- dependency-name: ruff
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: pip-minor-patch-updates
- dependency-name: torch
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-minor-patch-updates
- dependency-name: torchvision
  dependency-type: direct:production
  update-type: version-update:semver-minor
  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] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Dec 1, 2024
@fujikosu fujikosu self-assigned this Dec 6, 2024
@fujikosu fujikosu requested review from Copilot and fujikosu December 6, 2024 13:44
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Copilot reviewed 3 out of 5 changed files in this pull request and generated no suggestions.

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@fujikosu fujikosu changed the title build(deps): bump the pip-minor-patch-updates group across 2 directories with 7 updates build(deps): bump the pip-minor-patch-updates group across 2 directories with 7 updates + update base python version for CI to 3.11 Dec 6, 2024
@fujikosu fujikosu merged commit 40fe41d into main Dec 6, 2024
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@dependabot dependabot bot deleted the dependabot/pip/pip-minor-patch-updates-8e45bfe73e branch December 6, 2024 13:49
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