Bump the dependencies group across 1 directory with 5 updates

[dependabot]

Bumps the dependencies group with 5 updates in the / directory:

Package	From	To
pydantic	2.11.9	2.11.10
ruff	0.13.2	0.13.3
pyarrow-stubs	20.0.0.20250825	20.0.0.20250928
tox	4.30.2	4.30.3
transformers	4.56.2	4.57.0

Updates pydantic from 2.11.9 to 2.11.10

Changelog

Sourced from pydantic's changelog.

v2.11.10 (2025-10-04)

GitHub release

What's Changed

Fixes

• Backport v1.10.24 changes by @​Viicos

Commits

• 162b806 Prepare release v2.11.10
• 1f59156 Backport v1.10.24 changes
• See full diff in compare view

Updates ruff from 0.13.2 to 0.13.3

Release notes

Sourced from ruff's releases.

0.13.3

Release Notes

Released on 2025-10-02.

Preview features

• Display diffs for ruff format --check and add support for different output formats (#20443)
• [pyflakes] Handle some common submodule import situations for unused-import (F401) (#20200)
• [ruff] Do not flag %r + repr() combinations (RUF065) (#20600)

Bug fixes

• [cli] Add conflict between --add-noqa and --diff options (#20642)
• [pylint] Exempt required imports from PLR0402 (#20381)
• [pylint] Fix missing max-nested-blocks in settings display (#20574)
• [pyupgrade] Prevent infinite loop with I002 and UP026 (#20634)

Rule changes

• [flake8-simplify] Improve help message clarity (SIM105) (#20548)

Documentation

• Add the The Basics title back to CONTRIBUTING.md (#20624)
• Fixed documentation for try_consider_else (#20587)
• [isort] Clarify dependency between order-by-type and case-sensitive settings (#20559)
• [pylint] Clarify fix safety to include left-hand hashability (PLR6201) (#20518)

Other changes

• [playground] Fix quick fixes for empty ranges in playground (#20599)

Contributors

• @​TaKO8Ki
• @​ntBre
• @​dylwil3
• @​MichaReiser
• @​danparizher
• @​LilMonk
• @​mgiovani
• @​IDrokin117

Install ruff 0.13.3

Install prebuilt binaries via shell script

curl --proto '=https' --tlsv1.2 -LsSf https://github.com/astral-sh/ruff/releases/download/0.13.3/ruff-installer.sh | sh
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... (truncated)

Changelog

Sourced from ruff's changelog.

0.13.3

Released on 2025-10-02.

Preview features

• Display diffs for ruff format --check and add support for different output formats (#20443)
• [pyflakes] Handle some common submodule import situations for unused-import (F401) (#20200)
• [ruff] Do not flag %r + repr() combinations (RUF065) (#20600)

Bug fixes

• [cli] Add conflict between --add-noqa and --diff options (#20642)
• [pylint] Exempt required imports from PLR0402 (#20381)
• [pylint] Fix missing max-nested-blocks in settings display (#20574)
• [pyupgrade] Prevent infinite loop with I002 and UP026 (#20634)

Rule changes

• [flake8-simplify] Improve help message clarity (SIM105) (#20548)

Documentation

• Add the The Basics title back to CONTRIBUTING.md (#20624)
• Fixed documentation for try_consider_else (#20587)
• [isort] Clarify dependency between order-by-type and case-sensitive settings (#20559)
• [pylint] Clarify fix safety to include left-hand hashability (PLR6201) (#20518)

Other changes

• [playground] Fix quick fixes for empty ranges in playground (#20599)

Contributors

• @​TaKO8Ki
• @​ntBre
• @​dylwil3
• @​MichaReiser
• @​danparizher
• @​LilMonk
• @​mgiovani
• @​IDrokin117

Commits

• 188c0dc Bump 0.13.3 (#20685)
• c9b2bcb Update benchmarking CI for cargo-codspeed v4 (#20686)
• 4e94b22 [ty] Support single-starred argument for overload call (#20223)
• 0639da2 [ty] ~T should never be assignable to T (#20606)
• caf48f4 [pylint] Clarify fix safety to include left-hand hashability (PLR6201) (#...
• 71d7112 [ty] No union with Unknown for module-global symbols (#20664)
• eb34d12 [ty] Reject renaming files to start with slash in Playground (#20666)
• 56d630e [ty] Enums: allow multiple aliases to point to the same member (#20669)
• 963bc8c [ty] Reformulation of public symbol inference test suite (#20667)
• 20eb5b5 [ty] Fix subtyping of invariant generics specialized with Any (#20650)
• Additional commits viewable in compare view

Updates pyarrow-stubs from 20.0.0.20250825 to 20.0.0.20250928

Release notes

Sourced from pyarrow-stubs's releases.

20.0.0.20250928

What's Changed

• [pre-commit.ci] pre-commit autoupdate by @​pre-commit-ci[bot] in zen-xu/pyarrow-stubs#255
• fix: typo in maps_as_pydicts parameter in Array by @​zen-xu in zen-xu/pyarrow-stubs#262
• fix: Make Field type parameter covariant by @​zen-xu in zen-xu/pyarrow-stubs#263

Full Changelog: zen-xu/pyarrow-stubs@20.0.0.20250825...20.0.0.20250928

Commits

• 0a2d827 release 20.0.0.20250928 (#264)
• b3df0d3 feat(types): Make Field type parameter covariant (#263)
• bdd4f51 fix: typo in maps_as_pydicts parameter in Array (#262)
• 0f3b07a [pre-commit.ci] pre-commit autoupdate (#255)
• See full diff in compare view

Updates tox from 4.30.2 to 4.30.3

Release notes

Sourced from tox's releases.

4.30.3

What's Changed

• Isolate the test suite from any existing DEFAULT_CONFIG_FILE file by @​kurtmckee in tox-dev/tox#3612
• Fix none config file issue 3611 by @​kurtmckee in tox-dev/tox#3613
• [pre-commit.ci] pre-commit autoupdate by @​pre-commit-ci[bot] in tox-dev/tox#3608
• Fix incorrect type annotations in PythonPathPackageWithDeps (fixes #3607) by @​PreistlyPython in tox-dev/tox#3616
• [pre-commit.ci] pre-commit autoupdate by @​pre-commit-ci[bot] in tox-dev/tox#3615

New Contributors

• @​PreistlyPython made their first contribution in tox-dev/tox#3616

Full Changelog: tox-dev/tox@4.30.2...4.30.3

Changelog

Sourced from tox's changelog.

v4.30.3 (2025-10-02)

Bugfixes - 4.30.3

- Fix incorrect type annotation in ``PythonPathPackageWithDeps.__init__()``
  where ``deps`` was annotated as ``Sequence[Package]`` but should be
  ``Sequence[Requirement]`` to match actual runtime usage - by :user:`PreistlyPython` (:issue:`3607`)
- Fix ``None`` appearing as the config filename in error output
  when the user's default config file is corrupt. - by :user:`kurtmckee` (:issue:`3611`)

Commits

• 01442da release 4.30.3
• 984dc78 [pre-commit.ci] pre-commit autoupdate (#3615)
• 660adb5 Fix incorrect type annotations in PythonPathPackageWithDeps (fixes #3607) (#3...
• 393de39 [pre-commit.ci] pre-commit autoupdate (#3608)
• 6e32426 Fix none config file issue 3611 (#3613)
• 0805c83 Isolate the test suite from any existing DEFAULT_CONFIG_FILE file (#3612)
• See full diff in compare view

Updates transformers from 4.56.2 to 4.57.0

Release notes

Sourced from transformers's releases.

v4.57.0: Qwen3-Next, Vault Gemma, Qwen3 VL, LongCat Flash, Flex OLMO, LFM2 VL, BLT, Qwen3 OMNI MoE, Parakeet, EdgeTAM, OLMO3

New model additions

Qwen3 Next

The Qwen3-Next series represents the Qwen team's next-generation foundation models, optimized for extreme context length and large-scale parameter efficiency. The series introduces a suite of architectural innovations designed to maximize performance while minimizing computational cost:

• Hybrid Attention: Replaces standard attention with the combination of Gated DeltaNet and Gated Attention, enabling efficient context modeling.
• High-Sparsity MoE: Achieves an extreme low activation ratio as 1:50 in MoE layers — drastically reducing FLOPs per token while preserving model capacity.
• Multi-Token Prediction(MTP): Boosts pretraining model performance, and accelerates inference.
• Other Optimizations: Includes techniques such as zero-centered and weight-decayed layernorm, Gated Attention, and other stabilizing enhancements for robust training.

Built on this architecture, they trained and open-sourced Qwen3-Next-80B-A3B — 80B total parameters, only 3B active — achieving extreme sparsity and efficiency.

Despite its ultra-efficiency, it outperforms Qwen3-32B on downstream tasks — while requiring less than 1/10 of the training cost. Moreover, it delivers over 10x higher inference throughput than Qwen3-32B when handling contexts longer than 32K tokens.

For more details, please visit their blog Qwen3-Next (blog post).

• Adding Support for Qwen3-Next by @​bozheng-hit in #40771

Vault Gemma

VaultGemma is a text-only decoder model derived from Gemma 2, notably it drops the norms after the Attention and MLP blocks, and uses full attention for all layers instead of alternating between full attention and local sliding attention. VaultGemma is available as a pretrained model with 1B parameters that uses a 1024 token sequence length.

VaultGemma was trained from scratch with sequence-level differential privacy (DP). Its training data includes the same mixture as the Gemma 2 models, consisting of a number of documents of varying lengths. Additionally, it is trained using DP stochastic gradient descent (DP-SGD) and provides a (ε ≤ 2.0, δ ≤ 1.1e-10)-sequence-level DP guarantee, where a sequence consists of 1024 consecutive tokens extracted from heterogeneous data sources. Specifically, the privacy unit of the guarantee is for the sequences after sampling and packing of the mixture.

• add: differential privacy research model by @​RyanMullins in #40851

Qwen3 VL

Qwen3-VL is a multimodal vision-language model series, encompassing both dense and MoE variants, as well as Instruct and Thinking versions.

Building upon its predecessors, Qwen3-VL delivers significant improvements in visual understanding while maintaining strong pure text capabilities. Key architectural advancements include: enhanced MRope with interleaved layout for better spatial-temporal modeling, DeepStack integration to effectively leverage multi-level features from the Vision Transformer (ViT), and improved video understanding through text-based time alignment—evolving from T-RoPE to text timestamp alignment for more precise temporal grounding.

These innovations collectively enable Qwen3-VL to achieve superior performance in complex multimodal tasks.

• Adding Support for Qwen3-VL Series by @​JJJYmmm in #40795

Longcat Flash

The LongCatFlash model was proposed in LongCat-Flash Technical Report by the Meituan LongCat Team. LongCat-Flash is a 560B parameter Mixture-of-Experts (MoE) model that activates 18.6B-31.3B parameters dynamically (average ~27B). The model features a shortcut-connected architecture enabling high inference speed (>100 tokens/second) and advanced reasoning capabilities.

... (truncated)

Commits

• 8ac2b91 Release: v4.57.0
• 2ccc6ca v4.57.0 Branch (#41310)
• 438343d Don't list dropout in eager_paged_attention_forward (#40924)
• 449da6b Add FlexOlmo model (#40921)
• 3bb1b48 Standardize audio embedding function name for audio multimodal models (#40919)
• 58e13b9 Update expected values for some test_speculative_generation (#40949)
• 529d3a2 Fix Glm4vModelTest::test_eager_matches_fa2_generate (#40947)
• a2ac4de Remove nested import logic for torchvision (#40940)
• 8e837f6 Consistent naming for images kwargs (#40834)
• eb04363 Raise error instead of warning when using meta device in from_pretrained (#40...
• Additional commits viewable in compare view

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[dependabot]

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