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Bump the pip-all-updates group with 9 updates #312

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@dependabot dependabot bot commented on behalf of github Feb 1, 2025

Bumps the pip-all-updates group with 9 updates:

Package From To
black 24.10.0 25.1.0
ruff 0.8.4 0.9.4
scikit-image 0.25.0 0.25.1
scikit-learn 1.6.0 1.6.1
scipy 1.14.1 1.15.1
torch 2.5.1 2.6.0
torchvision 0.20.1 0.21.0
transformers 4.47.1 4.48.2
tabpfn 2.0.3 2.0.5

Updates black from 24.10.0 to 25.1.0

Release notes

Sourced from black's releases.

25.1.0

Highlights

This release introduces the new 2025 stable style (#4558), stabilizing the following changes:

  • Normalize casing of Unicode escape characters in strings to lowercase (#2916)
  • Fix inconsistencies in whether certain strings are detected as docstrings (#4095)
  • Consistently add trailing commas to typed function parameters (#4164)
  • Remove redundant parentheses in if guards for case blocks (#4214)
  • Add parentheses to if clauses in case blocks when the line is too long (#4269)
  • Whitespace before # fmt: skip comments is no longer normalized (#4146)
  • Fix line length computation for certain expressions that involve the power operator (#4154)
  • Check if there is a newline before the terminating quotes of a docstring (#4185)
  • Fix type annotation spacing between * and more complex type variable tuple (#4440)

The following changes were not in any previous release:

  • Remove parentheses around sole list items (#4312)
  • Generic function definitions are now formatted more elegantly: parameters are split over multiple lines first instead of type parameter definitions (#4553)

Stable style

  • Fix formatting cells in IPython notebooks with magic methods and starting or trailing empty lines (#4484)
  • Fix crash when formatting with statements containing tuple generators/unpacking (#4538)

Preview style

  • Fix/remove string merging changing f-string quotes on f-strings with internal quotes (#4498)
  • Collapse multiple empty lines after an import into one (#4489)
  • Prevent string_processing and wrap_long_dict_values_in_parens from removing parentheses around long dictionary values (#4377)
  • Move wrap_long_dict_values_in_parens from the unstable to preview style (#4561)

Packaging

  • Store license identifier inside the License-Expression metadata field, see PEP 639. (#4479)

Performance

  • Speed up the is_fstring_start function in Black's tokenizer (#4541)

Integrations

  • If using stdin with --stdin-filename set to a force excluded path, stdin won't be

... (truncated)

Changelog

Sourced from black's changelog.

25.1.0

Highlights

This release introduces the new 2025 stable style (#4558), stabilizing the following changes:

  • Normalize casing of Unicode escape characters in strings to lowercase (#2916)
  • Fix inconsistencies in whether certain strings are detected as docstrings (#4095)
  • Consistently add trailing commas to typed function parameters (#4164)
  • Remove redundant parentheses in if guards for case blocks (#4214)
  • Add parentheses to if clauses in case blocks when the line is too long (#4269)
  • Whitespace before # fmt: skip comments is no longer normalized (#4146)
  • Fix line length computation for certain expressions that involve the power operator (#4154)
  • Check if there is a newline before the terminating quotes of a docstring (#4185)
  • Fix type annotation spacing between * and more complex type variable tuple (#4440)

The following changes were not in any previous release:

  • Remove parentheses around sole list items (#4312)
  • Generic function definitions are now formatted more elegantly: parameters are split over multiple lines first instead of type parameter definitions (#4553)

Stable style

  • Fix formatting cells in IPython notebooks with magic methods and starting or trailing empty lines (#4484)
  • Fix crash when formatting with statements containing tuple generators/unpacking (#4538)

Preview style

  • Fix/remove string merging changing f-string quotes on f-strings with internal quotes (#4498)
  • Collapse multiple empty lines after an import into one (#4489)
  • Prevent string_processing and wrap_long_dict_values_in_parens from removing parentheses around long dictionary values (#4377)
  • Move wrap_long_dict_values_in_parens from the unstable to preview style (#4561)

Packaging

  • Store license identifier inside the License-Expression metadata field, see PEP 639. (#4479)

Performance

  • Speed up the is_fstring_start function in Black's tokenizer (#4541)

Integrations

... (truncated)

Commits

Updates ruff from 0.8.4 to 0.9.4

Release notes

Sourced from ruff's releases.

0.9.4

Release Notes

Preview features

  • [airflow] Extend airflow context parameter check for BaseOperator.execute (AIR302) (#15713)
  • [airflow] Update AIR302 to check for deprecated context keys (#15144)
  • [flake8-bandit] Permit suspicious imports within stub files (S4) (#15822)
  • [pylint] Do not trigger PLR6201 on empty collections (#15732)
  • [refurb] Do not emit diagnostic when loop variables are used outside loop body (FURB122) (#15757)
  • [ruff] Add support for more re patterns (RUF055) (#15764)
  • [ruff] Check for shadowed map before suggesting fix (RUF058) (#15790)
  • [ruff] Do not emit diagnostic when all arguments to zip() are variadic (RUF058) (#15744)
  • [ruff] Parenthesize fix when argument spans multiple lines for unnecessary-round (RUF057) (#15703)

Rule changes

  • Preserve quote style in generated code (#15726, #15778, #15794)
  • [flake8-bugbear] Exempt NewType calls where the original type is immutable (B008) (#15765)
  • [pylint] Honor banned top-level imports by TID253 in PLC0415. (#15628)
  • [pyupgrade] Ignore is_typeddict and TypedDict for deprecated-import (UP035) (#15800)

CLI

  • Fix formatter warning message for flake8-quotes option (#15788)
  • Implement tab autocomplete for ruff config (#15603)

Bug fixes

  • [flake8-comprehensions] Do not emit unnecessary-map diagnostic when lambda has different arity (C417) (#15802)
  • [flake8-comprehensions] Parenthesize sorted when needed for unnecessary-call-around-sorted (C413) (#15825)
  • [pyupgrade] Handle end-of-line comments for quoted-annotation (UP037) (#15824)

Documentation

  • Add missing config docstrings (#15803)
  • Add references to trio.run_process and anyio.run_process (#15761)
  • Use uv init --lib in tutorial (#15718)

Contributors

... (truncated)

Changelog

Sourced from ruff's changelog.

0.9.4

Preview features

  • [airflow] Extend airflow context parameter check for BaseOperator.execute (AIR302) (#15713)
  • [airflow] Update AIR302 to check for deprecated context keys (#15144)
  • [flake8-bandit] Permit suspicious imports within stub files (S4) (#15822)
  • [pylint] Do not trigger PLR6201 on empty collections (#15732)
  • [refurb] Do not emit diagnostic when loop variables are used outside loop body (FURB122) (#15757)
  • [ruff] Add support for more re patterns (RUF055) (#15764)
  • [ruff] Check for shadowed map before suggesting fix (RUF058) (#15790)
  • [ruff] Do not emit diagnostic when all arguments to zip() are variadic (RUF058) (#15744)
  • [ruff] Parenthesize fix when argument spans multiple lines for unnecessary-round (RUF057) (#15703)

Rule changes

  • Preserve quote style in generated code (#15726, #15778, #15794)
  • [flake8-bugbear] Exempt NewType calls where the original type is immutable (B008) (#15765)
  • [pylint] Honor banned top-level imports by TID253 in PLC0415. (#15628)
  • [pyupgrade] Ignore is_typeddict and TypedDict for deprecated-import (UP035) (#15800)

CLI

  • Fix formatter warning message for flake8-quotes option (#15788)
  • Implement tab autocomplete for ruff config (#15603)

Bug fixes

  • [flake8-comprehensions] Do not emit unnecessary-map diagnostic when lambda has different arity (C417) (#15802)
  • [flake8-comprehensions] Parenthesize sorted when needed for unnecessary-call-around-sorted (C413) (#15825)
  • [pyupgrade] Handle end-of-line comments for quoted-annotation (UP037) (#15824)

Documentation

  • Add missing config docstrings (#15803)
  • Add references to trio.run_process and anyio.run_process (#15761)
  • Use uv init --lib in tutorial (#15718)

0.9.3

Preview features

  • [airflow] Argument fail_stop in DAG has been renamed as fail_fast (AIR302) (#15633)
  • [airflow] Extend AIR303 with more symbols (#15611)
  • [flake8-bandit] Report all references to suspicious functions (S3) (#15541)
  • [flake8-pytest-style] Do not emit diagnostics for empty for loops (PT012, PT031) (#15542)
  • [flake8-simplify] Avoid double negations (SIM103) (#15562)
  • [pyflakes] Fix infinite loop with unused local import in __init__.py (F401) (#15517)
  • [pylint] Do not report methods with only one EM101-compatible raise (PLR6301) (#15507)
  • [pylint] Implement redefined-slots-in-subclass (W0244) (#9640)

... (truncated)

Commits
  • 854ab03 Bump version to 0.9.4 (#15831)
  • b0b8b06 Remove semicolon after TypeScript interface definition (#15827)
  • 451f251 [red-knot] Clarify behavior when redeclaring base class attributes (#15826)
  • 13cf3e6 [flake8-comprehensions] Parenthesize sorted when needed for `unnecessary-...
  • 56f956a [pyupgrade] Handle end-of-line comments for quoted-annotation (UP037) (...
  • 7a10a40 [flake8-bandit] Permit suspicious imports within stub files (S4) (#15822)
  • 3125332 [red-knot] Format mdtest snippets with the latest version of black (#15819)
  • 15d886a [red-knot] Consider all definitions after terminal statements unreachable (#1...
  • e1c9d10 [flake8-comprehensions] Do not emit unnecessary-map diagnostic when lambd...
  • 23c9884 Preserve quotes in generated f-strings (#15794)
  • Additional commits viewable in compare view

Updates scikit-image from 0.25.0 to 0.25.1

Release notes

Sourced from scikit-image's releases.

v0.25.1

scikit-image 0.25.1

We're happy to announce the release of scikit-image 0.25.1!

Bug Fixes

  • Include centroid in __all__ of the PYI file in skimage.measure (#7652).
  • Improve numerical stability of blur_effect (#7643).
  • Because under-determined fits are unreliable, skimage.measure.EllipseModel will now warn and return False (no fit) when fewer than 5 data points are provided (#7648).
  • Explicitly upcast data with dtype float16 to float32 in skimage.segmentation.random_walker; this fixes passing float16 on NumPy 1.26 (#7655).

Documentation

  • Don't use removed QuadContourSet.collections in gallery example (#7638).
  • Change old import convention in the gallery examples (#7630).

Infrastructure

  • Make apigen.py work with editable hooks (#7647).
  • Build Linux ARM wheels natively (#7664).

Maintenance

  • Infer floating point type for sigma parameter (#7637).
  • In skimage.segmentation.active_contour, change the type of the default argument for w_line to indicate it is a float (#7645).
  • Temporarily disable parallel building of gallery (#7656).
  • [pre-commit.ci] pre-commit autoupdate (#7649).
  • Skip flaky test on azure (#7669).

Contributors

8 authors added to this release (alphabetically):

8 reviewers added to this release (alphabetically):

... (truncated)

Commits

Updates scikit-learn from 1.6.0 to 1.6.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.6.1

We're happy to announce the 1.6.1 release.

This release contains fixes for a few regressions introduced in 1.6.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.6.html#version-1-6-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Thanks to everyone who contributed to this release !

Commits
  • f159b78 trigger wheel builder [cd build]
  • 73cca70 generate changelog
  • afaa070 bump version
  • 1f43fd2 DOC: Updates to Macro vs micro-averaging in plot_roc.py (#29845)
  • ea8a725 🔒 🤖 CI Update lock files for main CI build(s) 🔒 🤖 (#30593)
  • bc291f1 🔒 🤖 CI Update lock files for scipy-dev CI build(s) 🔒 🤖 ...
  • f5f2b9c 🔒 🤖 CI Update lock files for free-threaded CI build(s) 🔒 :rob...
  • acbb862 TST Fix doctest due to GradientBoostingClassifier difference with scipy 1.15 ...
  • 42831e5 FIX warn if an estimator does have a concrete sklearn_tags implementation...
  • 0d2ce43 FIX change FutureWarnings to DeprecationWarnings for the tags (#30573)
  • Additional commits viewable in compare view

Updates scipy from 1.14.1 to 1.15.1

Release notes

Sourced from scipy's releases.

SciPy 1.15.1 Release Notes

SciPy 1.15.1 is a bug-fix release with no new features compared to 1.15.0. Importantly, an issue with the import of scipy.optimize breaking other packages has been fixed.

Authors

  • Name (commits)
  • Ralf Gommers (3)
  • Rohit Goswami (1)
  • Matt Haberland (2)
  • Tyler Reddy (7)
  • Daniel Schmitz (1)

A total of 5 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.

SciPy 1.15.0 Release Notes

SciPy 1.15.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.15.x branch, and on adding new features on the main branch.

This release requires Python 3.10-3.13 and NumPy 1.23.5 or greater.

Highlights of this release

  • Sparse arrays are now fully functional for 1-D and 2-D arrays. We recommend that all new code use sparse arrays instead of sparse matrices and that developers start to migrate their existing code from sparse matrix to sparse array: migration_to_sparray. Both sparse.linalg and sparse.csgraph work with either sparse matrix or sparse array and work internally with sparse array.
  • Sparse arrays now provide basic support for n-D arrays in the COO format

... (truncated)

Commits
  • df134ea REL: 1.15.1 rel commit [wheel build]
  • f939c19 Merge pull request #22296 from tylerjereddy/treddy_1.15.1_backports
  • 609bb3c DOC: PR 22296 revisions
  • 5bfd6a2 TST: stats.Normal: bump tolerance on test of logcdf (#22276)
  • f9a549c DOC: update 1.15.1 relnotes
  • 6f011d8 MAINT: Update highs subproject commit
  • 0ff01de TST: fix thread safety issue in interpolate.bsplines memmap test
  • 21c65ab BLD: fix some issues with undeclared internal build dependencies
  • 826759e MAINT: fix url for array-api-extra git submodule
  • 9af1fcd Merge pull request #22235 from tylerjereddy/treddy_prep_1.15.1
  • Additional commits viewable in compare view

Updates torch from 2.5.1 to 2.6.0

Release notes

Sourced from torch's releases.

PyTorch 2.6.0 Release

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

Highlights

We are excited to announce the release of PyTorch® 2.6 (release notes)! This release features multiple improvements for PT2: torch.compile can now be used with Python 3.13; new performance-related knob torch.compiler.set_stance; several AOTInductor enhancements. Besides the PT2 improvements, another highlight is FP16 support on X86 CPUs.

NOTE: Starting with this release we are not going to publish on Conda, please see [Announcement] Deprecating PyTorch’s official Anaconda channel for the details.

For this release the experimental Linux binaries shipped with CUDA 12.6.3 (as well as Linux Aarch64, Linux ROCm 6.2.4, and Linux XPU binaries) are built with CXX11_ABI=1 and are using the Manylinux 2.28 build platform. If you build PyTorch extensions with custom C++ or CUDA extensions, please update these builds to use CXX_ABI=1 as well and report any issues you are seeing. For the next PyTorch 2.7 release we plan to switch all Linux builds to Manylinux 2.28 and CXX11_ABI=1, please see [RFC] PyTorch next wheel build platform: manylinux-2.28 for the details and discussion.

Also in this release as an important security improvement measure we have changed the default value for weights_only parameter of torch.load. This is a backward compatibility-breaking change, please see this forum post for more details.

This release is composed of 3892 commits from 520 contributors since PyTorch 2.5. 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 PyTorch. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

... (truncated)

Commits

Updates torchvision from 0.20.1 to 0.21.0

Release notes

Sourced from torchvision's releases.

Torchvision 0.21 release

Highlights

Detailed changes

Image decoding

Torchvision continues to improve its image decoding capabilities. For this version, we added support for HEIC and AVIF image formats. Things are a bit different this time: to enable it, you'll need to pip install torchvision-extra-decoders, and the decoders are available in torchvision as torchvision.io.decode_heic() and torchvision.io.decode_avif(). This is still experimental / BETA, so let us know if you encounter any issue.

Read more in our docs!

New Features

[io] Add support for decoding AVIF and HEIC image formats (#8671)

Improvements

[datasets] Don't error when dataset is already downloaded (#8691) [datasets] Don't print when dataset is already downloaded (#8681) [datasets] remove printing info in datasets (#8683) [utils] Add label_colors argument to draw_bounding_boxes (#8578) [models] Add __deepcopy__ support for DualGraphModule (#8708) [Docs] Various documentation improvements (#8798, #8709, #8576, #8620, #8846, #8758) [Code quality] Various code quality improvements (#8757, #8755, #8754, #8689, #8719, #8772, #8774, #8791, #8705)

Bug Fixes

[io] Fix memory leak in decode_webp (#8712) [io] Fix pyav 14 compatibility error (#8776) [models] Fix order of auxiliary networks in googlenet.py (#8743) [transforms] Fix adjust_hue on ARM (#8618) [reference scripts] Fix error when loading the cached dataset in video classification reference(#8727) [build] fix CUDA build with NVCC_FLAGS in env (#8692)

Tracked Regressions

[build] aarch64 builds are build with manylinux_2_34_aarch64 tag according to auditwheel check (#8883)

Contributors

We're grateful for our community, which helps us improve torchvision by submitting issues and PRs, and providing feedback and suggestions. The following persons have contributed patches for this release:

amdfaa Andreas Floros, Andrey Talman , Beh Chuen Yang, David Miguel Susano Pinto, GdoongMathew, Jason Chou, Li-Huai (Allan) Lin, Maohua Li, Nicolas Hug , pblwk, R. Yao, sclarkson, vfdev, Ștefan Talpalaru

Commits

Updates transformers from 4.47.1 to 4.48.2

Release notes

Sourced from transformers's releases.

Patch release v4.48.2

Sorry because the fixes for num_items_in_batches are not done yet 😓 To follow along see this PR, a new patch will be available soon!

Now, we mostly had BC issue with python version 3.9:

Then we had a small regression for DBRX saving:

Finally we have a fix for gemma and the hybrid attention architectures:

Miscellaneous:

Patch release v4.48.1

Yet again we are dawned with a gradient accumulation fix! There is also a refactoring of the attention that let a small typo in, we made sure PHI is no longer broken!

Moonshine had a small issue when wrapping generate so we removed that!

🤗

v4.48.0: ModernBERT, Aria, TimmWrapper, ColPali, Falcon3, Bamba, VitPose, DinoV2 w/ Registers, Emu3, Cohere v2, TextNet, DiffLlama, PixtralLarge, Moonshine

New models

ModernBERT

The ModernBert model was proposed in Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference by Benjamin Warner, Antoine Chaffin, Benjamin Clavié, Orion Weller, Oskar Hallström, Said Taghadouini, Alexis Galalgher, Raja Bisas, Faisal Ladhak, Tom Aarsen, Nathan Cooper, Grifin Adams, Jeremy Howard and Iacopo Poli.

It is a refresh of the traditional encoder architecture, as used in previous models such as BERT and RoBERTa.

It builds on BERT and implements many modern architectural improvements which have been developed since its original release, such as:

  • Rotary Positional Embeddings to support sequences of up to 8192 tokens.
  • Unpadding to ensure no compute is wasted on padding tokens, speeding up processing time for batches with mixed-length sequences.
  • GeGLU Replacing the original MLP layers with GeGLU layers, shown to improve performance.
  • Alternating Attention where most attention layers employ a sliding window of 128 tokens, with Global Attention only used every 3 layers.
  • Flash Attention to speed up processing.
  • A model designed following recent The Case for Co-Designing Model Architectures with Hardware, ensuring maximum efficiency across inference GPUs.
  • Modern training data scales (2 trillion tokens) and mixtures (including code ande math data)

image

... (truncated)

Commits

Updates tabpfn from 2.0.3 to 2.0.5

Commits

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@dependabot
Bump the pip-all-updates group with 9 updates
bbc908c 
Bumps the pip-all-updates group with 9 updates:

| Package | From | To |
| --- | --- | --- |
| [black](https://github.com/psf/black) | `24.10.0` | `25.1.0` |
| [ruff](https://github.com/astral-sh/ruff) | `0.8.4` | `0.9.4` |
| [scikit-image](https://github.com/scikit-image/scikit-image) | `0.25.0` | `0.25.1` |
| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | `1.6.0` | `1.6.1` |
| [scipy](https://github.com/scipy/scipy) | `1.14.1` | `1.15.1` |
| [torch](https://github.com/pytorch/pytorch) | `2.5.1` | `2.6.0` |
| [torchvision](https://github.com/pytorch/vision) | `0.20.1` | `0.21.0` |
| [transformers](https://github.com/huggingface/transformers) | `4.47.1` | `4.48.2` |
| [tabpfn](https://github.com/priorlabs/tabpfn) | `2.0.3` | `2.0.5` |


Updates `black` from 24.10.0 to 25.1.0
- [Release notes](https://github.com/psf/black/releases)
- [Changelog](https://github.com/psf/black/blob/main/CHANGES.md)
- [Commits](psf/black@24.10.0...25.1.0)

Updates `ruff` from 0.8.4 to 0.9.4
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.8.4...0.9.4)

Updates `scikit-image` from 0.25.0 to 0.25.1
- [Release notes](https://github.com/scikit-image/scikit-image/releases)
- [Changelog](https://github.com/scikit-image/scikit-image/blob/main/RELEASE.txt)
- [Commits](scikit-image/scikit-image@v0.25.0...v0.25.1)

Updates `scikit-learn` from 1.6.0 to 1.6.1
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.6.0...1.6.1)

Updates `scipy` from 1.14.1 to 1.15.1
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.14.1...v1.15.1)

Updates `torch` from 2.5.1 to 2.6.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.5.1...v2.6.0)

Updates `torchvision` from 0.20.1 to 0.21.0
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.20.1...v0.21.0)

Updates `transformers` from 4.47.1 to 4.48.2
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.47.1...v4.48.2)

Updates `tabpfn` from 2.0.3 to 2.0.5
- [Commits](https://github.com/priorlabs/tabpfn/commits)

---
updated-dependencies:
- dependency-name: black
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: pip-all-updates
- dependency-name: ruff
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-all-updates
- dependency-name: scikit-image
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-updates
- dependency-name: scikit-learn
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-updates
- dependency-name: scipy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-all-updates
- dependency-name: torch
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-all-updates
- dependency-name: torchvision
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-all-updates
- dependency-name: transformers
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-all-updates
- dependency-name: tabpfn
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-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 Feb 1, 2025
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