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Bump the core-dependencies group across 1 directory with 7 updates - #1

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Bump the core-dependencies group across 1 directory with 7 updates#1
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Bumps the core-dependencies group with 6 updates in the / directory:

Package From To
matplotlib 3.10.8 3.11.1
numpy 2.4.3 2.5.1
pydantic 2.12.5 2.13.4
pydantic-settings 2.13.1 2.14.2
torch 2.10.0 2.13.0
typer 0.24.1 0.27.1

Updates matplotlib from 3.10.8 to 3.11.1

Release notes

Sourced from matplotlib's releases.

REL: v3.11.1

This is the first bugfix release of the 3.11.x series.

This release contains several bug-fixes and adjustments:

  • Fix tight layout of multiple subplots with sharey=True
  • Fix NoNorm cursor formatting for uint8 images
  • Fix occasional misalignment in reported mouse position (also fix a bug with canvas height)
  • Fix clipped Axis labels on 3D plots with tight layout
  • Fix inverted Axis on 3D plots
  • Fix restoring 'auto' aspect in 3D axes after switching from 'equal'
  • Fix missing glyphs when subsetting Type 1 fonts in PDF
  • Fix oversized embedding of Type 42 fonts in PDF/PostScript files

As well as several documentation and typing improvements and corrections.

REL: v3.11.0

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. See the release notes for more information.

REL: v3.11.0rc2

This is the second release candidate for the meso release 3.11.0.

This release candidate fixes some problems with downstream packages, removes some missed deprecations, and corrects some additional minor bugs.

REL: v3.11.0rc1

After an extended development stretch, we are pleased to announce the first release candidate of Matplotlib 3.11.0.

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner. Due to the update to the font rendering stack, we cannot guarantee that text will be bit-for-bit perfect with previous releases, so if you are using Matplotlib for testing, it may be necessary to introduce/raise a tolerance within your tests.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. Final release notes are still being curated, but you may browse the list of new features, API changes, and all issues/pull requests on the milestone.

As a note for downstream packagers, the font libraries have only been tested against the versions bundled with the wheels. It may be possible to expand the range of requirements, or that a requirement is too broad. Please report any issues you have building against external dependencies.

v3.10.9

This is a micro release of the v3.10.x series. Highlights of this release include:

  • Various minor bug and doc fixes
  • Security hardening validation of cyclers - Removing eval usage
  • Security hardening in Latex and PS calls - Removing shell escapes
Commits
  • 3c1757a REL: v3.11.1
  • 792c6b5 DOC: Prepare for 3.11.1
  • aaff9f6 Merge branch 'v3.11.0-doc' into v3.11.x
  • d4f4527 Merge pull request #32052 from meeseeksmachine/auto-backport-of-pr-32038-on-v...
  • 6ad4bcf Merge pull request #32050 from meeseeksmachine/auto-backport-of-pr-31304-on-v...
  • 7fb74d3 Merge pull request #32051 from meeseeksmachine/auto-backport-of-pr-32037-on-v...
  • c624aec Backport PR #32038: Fix occasional misalignment in reported mouse position (a...
  • 8eda2b7 Backport PR #32037: Bump the actions group with 3 updates
  • a0e7ae5 Backport PR #31304: Fix restoring 'auto' aspect in 3D axes after switching fr...
  • 9001323 Merge pull request #32047 from meeseeksmachine/auto-backport-of-pr-32025-on-v...
  • Additional commits viewable in compare view

Updates numpy from 2.4.3 to 2.5.1

Release notes

Sourced from numpy's releases.

v2.5.1 (July 4, 2026)

NumPy 2.5.1 Release Notes

The NumPy 2.5.1 is a patch release that fixes bugs discovered after the 2.5.0 release. The most noticeable is the fix is to the numpy datetime cython API which should allow downstream to support NumPy versions older than 2.5. Preparation for Python 3.15 continues along with typing improvements.

This release supports Python versions 3.12-3.14

Changes

  • The minimum supported GCC version has been updated from 9.3.0 to 10.3.0

    (gh-31843)

Contributors

A total of 10 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Adhyan Gupta +
  • Ankit Ahlawat
  • Charles Harris
  • Iason Krommydas
  • Joren Hammudoglu
  • Kumar Aditya
  • Nathan Goldbaum
  • Sebastian Berg
  • Ties Jan Hefting +
  • Vineet Kumar

Pull requests merged

A total of 20 pull requests were merged for this release.

  • #31707: MAINT: Prepare 2.5.x for further development
  • #31721: CI: fix new cython-lint errors (#31711)
  • #31723: MAINT: Update meson to match main
  • #31729: TST: use setup-sde instead of curl to get SDE binaries (#31727)
  • #31829: BUG: Relax finfo to be easier accessible for all user dtypes...
  • #31831: TYP: Fix flatiter.__next__ return type for object_ and...
  • #31832: BUG: avoid deadlocks using NpyString API (#31682)
  • #31833: BUG: fix out array leak in reduceat and accumulate when dtype...
  • #31835: BUG: fix numpy datetime cython APIs to be compatible with older...
  • #31836: TYP: Fix incorrect dtype inference of asarray([]) (#31732)
  • #31837: TYP: Fix np.ma.masked_array 2.5.0 regression
  • #31838: FIX: Refactor error handling in array_setstate to prevent typecode...
  • #31839: TST: xfail multithreaded BLAS test more generously
  • #31840: MAINT: Rename subroutine for crackfortran tests

... (truncated)

Commits
  • 5e1d03f Merge pull request #31863 from charris/prepare-2.5.1
  • ad0b66b REL: Prepare for the NumPy 2.5.1 release.
  • 9df8516 Merge pull request #31858 from charris/backport-31688
  • 4dee265 Merge pull request #31857 from charris/backport-31775
  • dc8d553 Merge pull request #31856 from charris/backport-31846
  • 67cb4a8 fix:Signed integer overflow in datetime.c (#31688)
  • baa2589 TST: Clean up imports, formatting, and assertions
  • 2fe5ba4 TEST: Refactor tests to use np.testing.assert_raises_regex per review
  • bb46581 MAINT: Remove deprecated Python recursion fix
  • 8f34214 MAINT: Move SeedSequence recursion guard to C-layer and add tests
  • Additional commits viewable in compare view

Updates pydantic from 2.12.5 to 2.13.4

Release notes

Sourced from pydantic's releases.

v2.13.4 2026-05-06

v2.13.4 (2026-05-06)

What's Changed

Packaging

Fixes

Full Changelog: pydantic/pydantic@v2.13.3...v2.13.4

v2.13.3 2026-04-20

v2.13.3 (2026-04-20)

What's Changed

Fixes

Full Changelog: pydantic/pydantic@v2.13.2...v2.13.3

v2.13.2 2026-04-17

v2.13.2 (2026-04-17)

What's Changed

Fixes

  • Fix ValidationInfo.field_name missing with model_validate_json() by @​Viicos in #13084

Full Changelog: pydantic/pydantic@v2.13.1...v2.13.2

v2.13.1 2026-04-15

v2.13.1 (2026-04-15)

What's Changed

Fixes

Full Changelog: pydantic/pydantic@v2.13.0...v2.13.1

v2.13.0 2026-04-13

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.13.4 (2026-05-06)

GitHub release

What's Changed

Packaging

Fixes

v2.13.3 (2026-04-20)

GitHub release

What's Changed

Fixes

v2.13.2 (2026-04-17)

GitHub release

What's Changed

Fixes

  • Fix ValidationInfo.field_name missing with model_validate_json() by @​Viicos in #13084

v2.13.1 (2026-04-15)

GitHub release

What's Changed

Fixes

v2.13.0 (2026-04-13)

GitHub release

The highlights of the v2.13 release are available in the blog post.

... (truncated)

Commits
  • cf67d4b Fix linting
  • f0d8a21 Prepare release v2.13.4
  • 5e3fe1d Check for pydantic tag pattern in CI
  • 7f9edcc Document tagging conventions
  • b46a0c9 Adapt pydantic-core linker flags on macOS
  • 50629c8 Update to PyPy 7.3.22
  • 8522ebb Preserve RootModel core metadata
  • a37f3af Adapt MISSING sentinel test to work with unreleased typing_extensions ver...
  • 909259a Remove Logfire example in documentation
  • 2c4174c Bump libc from 0.2.155 to 0.2.185
  • Additional commits viewable in compare view

Updates pydantic-settings from 2.13.1 to 2.14.2

Release notes

Sourced from pydantic-settings's releases.

v2.14.2

What's Changed

This is a security patch release.

Security

Fixes GHSA-4xgf-cpjx-pc3j: NestedSecretsSettingsSource with secrets_nested_subdir=True could follow a symbolic link inside secrets_dir pointing outside it, reading out-of-tree files into settings values and bypassing the secrets_dir_max_size cap. Affected versions: >= 2.12.0, < 2.14.2.

Full Changelog: pydantic/pydantic-settings@v2.14.1...v2.14.2

v2.14.1

What's Changed

Full Changelog: pydantic/pydantic-settings@v2.14.0...v2.14.1

v2.14.0

What's Changed

... (truncated)

Commits
  • d703bd7 Prepare release 2.14.2 (#890)
  • e95c30b Prepare release 2.14.1 (#859)
  • 0c87345 Fix field named cls conflicting with classmethod parameter (#858)
  • 7bd0072 Bump the python-packages group with 2 updates (#856)
  • b03e573 Bump the github-actions group with 3 updates (#853)
  • eaa3b43 Bump the python-packages group with 5 updates (#854)
  • 9f95615 Bump the python-packages group with 4 updates (#850)
  • 8916bee Prepare release 2.14.0 (#848)
  • 39e551c Fix CLI descriptions lost under python -OO by falling back to `json_schema_...
  • 9ed7f48 Bump the python-packages group with 4 updates (#847)
  • Additional commits viewable in compare view

Updates torch from 2.10.0 to 2.13.0

Release notes

Sourced from torch's releases.

PyTorch 2.13.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Tracked Regressions

ROCm wheels break torch.compile on CPU in environments without a GPU

Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.

Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.

Backwards Incompatible Changes

  • Stop building CPython 3.13t (free-threaded) binaries (#182951)

    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result, PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the free-threaded interpreter should move to Python 3.14t.

    PyTorch 2.12:

    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch

    PyTorch 2.13:

... (truncated)

Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Updates torchvision from 0.25.0 to 0.28.0

Release notes

Sourced from torchvision's releases.

TorchVision 0.28.0 Release

TorchVision 0.28 is out with some small enhancement and bug-fixes:

Enhancements

  • [transforms] Let wrap() preserve metadata for custom TVTensor subclasses (#9490)
  • [transforms] Allow strings for interpolation param in resize transforms (#9461)

Bug fixes

  • [transforms] Fix F.resize on tv_tensors.Mask to honor NEAREST_EXACT interpolation. Previously the interpolation argument was ignored for mask inputs (resize_mask hardcoded NEAREST), so NEAREST_EXACT silently produced plain NEAREST output (#9497)
  • [io] Fix a GIF decoder bug on malformed GIFs that could write outside the allocated tensor's memory (#9520)

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:

Andrey Talman, Benson Ma, Jason Fried, Joanne Yun, Nicolas Hug

TorchVision 0.27.1 Release

This is a patch release, which is compatible with PyTorch 2.12.1. There are no new features added.

TorchVision 0.27 Release

TorchVision 0.27 is out! This is a small release where the main improvement is the addition of the popular lanczos interpolation mode for the v2.Resize transform on CPU. Results are equivalent to PIL's, but you can expect TorchVision to be faster as it leverages AVX2 (on x86) and NEON paths (on ARM).

Improvements

[transforms] Add support for lanczos interpolation mode (#9459) [transforms] Drastically speed-up Resize on NEON ARM (#9439) [ops] Vectorize masks_to_boxes for performance (#9358) [ops, transforms] Add direct XYWH-CXCYWH conversion for better performance (#9326) [datasets] torchvision.datasets.voc: update dataset and project site URLs (#9216) [ops] Add support for rotated boxes in box_iou (#9404, #9379) [ops][MPS] Improve runtime complexity of roi_align (#9100) [Code quality] #9359, #9364, #9359, #9317, #9409, #9408, #9416, #9411, #4463, #9475, #9427, #9448, #9443, #9396, #9316, #9286, #9324, #9338, #9381, #9386

[Documentation] #9339, #9351, #9323, #9374, #9412, #9378, #9428, #9431, #9474, #9472, #9463, #9440, #9385, #9327, #9334, #8879, #9350, #9392

Bug Fixes

[transforms] Fix incorrect normalization axis in v2.ElasticTransform (#9300) [transforms] Fix: add clamping to avoid v2.ElasticTransform IndexError when bbox equals canvas size (#9436) [transforms] Fix tv_tensors.wrap to preserve subclass types for BoundingBoxes and KeyPoints (#9332) [transforms] Fix CXCYWH to XYXY conversion for integer bounding boxes (#9322) [ops] Fix masks_to_boxes for empty masks (#9357)

Contributors

... (truncated)

Commits

Updates typer from 0.24.1 to 0.27.1

Release notes

Sourced from typer's releases.

0.27.1

Features

  • ✨ Make epilog formatting consistent with other parts of the help string. PR #1405 by @​svlandeg.

Docs

Internal

0.27.0

Breaking Changes

Internal

0.26.8

Fixes

  • 🐛 Make second column of Rich help output reflect the type consistently, even when using metavar. PR #1410 by @​svlandeg.
  • 🐛 Fix formatting in NoSuchOption.format_message(). PR #1843 by @​foomunleong.

Docs

  • 📝 Update docs badges: remove Publish badge, it doesn't give extra information. PR #1850 by @​tiangolo.
  • 📝 Fix formatting for help link to support GitHub-specific overview edge-case. PR #1826 by @​phalberg.

Internal

... (truncated)

Changelog

Sourced from typer's changelog.

0.27.1 (2026-08-03)

Features

  • ✨ Make epilog formatting consistent with other parts of the help string. PR #1405 by @​svlandeg.

Docs

Internal

0.27.0 (2026-07-15)

Breaking Changes

Internal

0.26.8 (2026-06-25)

Fixes

  • 🐛 Make second column of Rich help output reflect the type consistently, even when using metavar. PR #1410 by @​svlandeg.
  • 🐛 Fix formatting in NoSuchOption.format_message(). PR #1843 by @​foomunleong.

Docs

  • 📝 Update docs badges: remove Publish badge, it doesn't give extra information. PR #1850 by @​tiangolo.
  • 📝 Fix formatting for help link to support GitHub-specific overview edge-case. PR #1826 by @​phalberg.

... (truncated)

Commits
  • fe2aa0e 🔖 Release version 0.27.1 (#1919)
  • 680dc99 📝 Update release notes
  • ac3efd5 ✨ Make epilog formatting consistent with other parts of the help string (#1...
  • 32d80ef 📝 Update release notes
  • 10cb3c9 ⬆️ Upgrade latest-changes to 0.7.1 (#1909)
  • ac329a0 📝 Update release notes
  • c37ae2f 📝 Add Library Skills documentation (#1906)
  • 0974a7e 📝 Update release notes
  • 951178c 🐛 Prevent scroll-to-top on restart/fast buttons in the documentation (#1904)
  • 9051baa 📝 Update release notes
  • Additional commits viewable in compare view

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@dependabot dependabot Bot changed the title Bump the core-dependencies group with 7 updates Bump the core-dependencies group across 1 directory with 7 updates Aug 6, 2026
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dependabot Bot force-pushed the dependabot/uv/core-dependencies-7ebbb8a537 branch from 1ba0987 to f743c9e Compare August 6, 2026 19:30
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dependabot Bot force-pushed the dependabot/uv/core-dependencies-7ebbb8a537 branch from f743c9e to 6870a2c Compare August 7, 2026 06:52
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@dependabot rebase

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Bump the core-dependencies group across 1 directory with 7 updates
c736e3a 
Bumps the core-dependencies group with 6 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [matplotlib](https://github.com/matplotlib/matplotlib) | `3.10.8` | `3.11.1` |
| [numpy](https://github.com/numpy/numpy) | `2.4.3` | `2.5.1` |
| [pydantic](https://github.com/pydantic/pydantic) | `2.12.5` | `2.13.4` |
| [pydantic-settings](https://github.com/pydantic/pydantic-settings) | `2.13.1` | `2.14.2` |
| [torch](https://github.com/pytorch/pytorch) | `2.10.0` | `2.13.0` |
| [typer](https://github.com/fastapi/typer) | `0.24.1` | `0.27.1` |



Updates `matplotlib` from 3.10.8 to 3.11.1
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.10.8...v3.11.1)

Updates `numpy` from 2.4.3 to 2.5.1
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.4.3...v2.5.1)

Updates `pydantic` from 2.12.5 to 2.13.4
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/main/HISTORY.md)
- [Commits](pydantic/pydantic@v2.12.5...v2.13.4)

Updates `pydantic-settings` from 2.13.1 to 2.14.2
- [Release notes](https://github.com/pydantic/pydantic-settings/releases)
- [Commits](pydantic/pydantic-settings@v2.13.1...v2.14.2)

Updates `torch` from 2.10.0 to 2.13.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.10.0...v2.13.0)

Updates `torchvision` from 0.25.0 to 0.28.0
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.25.0...v0.28.0)

Updates `typer` from 0.24.1 to 0.27.1
- [Release notes](https://github.com/fastapi/typer/releases)
- [Changelog](https://github.com/fastapi/typer/blob/master/docs/release-notes.md)
- [Commits](fastapi/typer@0.24.1...0.27.1)

---
updated-dependencies:
- dependency-name: matplotlib
  dependency-version: 3.11.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: core-dependencies
- dependency-name: numpy
  dependency-version: 2.5.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: core-dependencies
- dependency-name: pydantic
  dependency-version: 2.13.4
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: core-dependencies
- dependency-name: pydantic-settings
  dependency-version: 2.14.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: core-dependencies
- dependency-name: torch
  dependency-version: 2.13.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: core-dependencies
- dependency-name: torchvision
  dependency-version: 0.28.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: core-dependencies
- dependency-name: typer
  dependency-version: 0.27.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: core-dependencies
...

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@dependabot
dependabot Bot force-pushed the dependabot/uv/core-dependencies-7ebbb8a537 branch from 6870a2c to c736e3a Compare August 7, 2026 07:07
@chariako
chariako merged commit 92a576c into main Aug 7, 2026
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dependabot Bot deleted the dependabot/uv/core-dependencies-7ebbb8a537 branch August 7, 2026 07:10
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