Bump the tensorflow group in /tensorflow with 3 updates

[dependabot]

Bumps the tensorflow group in /tensorflow with 3 updates: pillow, jupyterhub and numpy.

Updates pillow from 11.3.0 to 12.1.0

Release notes

Sourced from pillow's releases.

12.1.0

https://pillow.readthedocs.io/en/stable/releasenotes/12.1.0.html

Deprecations

• Deprecate getdata(), in favour of new get_flattened_data() #9292 [@​radarhere]

Documentation

• Specify APNG duration type when opening #9368 [@​radarhere]
• Added release notes for #9350 #9366 [@​radarhere]
• Update ImageMorph documentation #9349 [@​radarhere]
• Docs: update major bump cadence #9334 [@​hugovk]
• Add release notes for #9070 #9320 [@​radarhere]
• Updated Ubuntu version #9306 [@​radarhere]
• Update macOS tested Pillow versions #9265 [@​radarhere]

Dependencies

• Update harfbuzz to 12.3.0 #9355 [@​radarhere]
• Update xz to 5.8.2 #9343 [@​radarhere]
• Updated libjpeg-turbo to 3.1.3 #9333 [@​radarhere]
• Updated zlib-ng to 2.3.2 #9324 [@​radarhere]
• Updated libpng to 1.6.53 #9325 [@​radarhere]
• Update actions/checkout action to v6 #9323 [@renovate[bot]]
• Update dependency mypy to v1.19.0 #9322 [@renovate[bot]]
• Updated libpng to 1.6.51 #9305 [@​radarhere]
• Updated brotli to 1.2.0 #9284 [@​radarhere]
• Update libimagequant to 4.4.1 #9301 [@​radarhere]
• Update zlib-ng to 2.3.1, except on manylinux2014 aarch64 #9312 [@​radarhere]
• Updated harfbuzz to 12.2.0 #9289 [@​radarhere]
• Update github-actions #9277 [@renovate[bot]]

Testing

• Replace pre-commit with prek #9360 [@​hugovk]
• Test PyQt6 on Python 3.14 on Windows #9353 [@​radarhere]
• Test 32-bit Windows on Windows Server 2022 #9345 [@​radarhere]
• Correct variable type #9335 [@​radarhere]
• Fix ResourceWarnings in selftest.py #9332 [@​hugovk]
• Fix testing good P mode BMP images #9319 [@​radarhere]
• Test Python 3.15 pre-release #9331 [@​hugovk]
• Test ImageFont.ImageFont, in case freetype2 is not supported #9287 [@​radarhere]
• Add Fedora 43 #9290 [@​radarhere]
• Remove Fedora 41 #9260 [@​radarhere]

Type hints

• Add ImageFile context manager #9367 [@​radarhere]
• Assert fp is not None #8617 [@​radarhere]

... (truncated)

Commits

• 46f45f6 12.1.0 version bump
• c9ac097 Simplify band splitting (#9291)
• 3baedf2 Deprecate getdata(), in favour of new get_flattened_data() (#9292)
• b51a036 Specify APNG duration type when opening (#9368)
• 8d08e31 Add release notes for #9348 (#9369)
• 432707e Added release notes for #9348
• 2d58910 Specify APNG duration type when opening
• 8dee8dd Add ImageFile context manager (#9367)
• b2d9bc3 Support saving APNG float durations (#9365)
• f130c10 Allow 1 mode images in MorphOp (#9348)
• Additional commits viewable in compare view

Updates jupyterhub from 5.3.0 to 5.4.3

Commits

• 652390e Bump to 5.4.3
• c6f8d17 Merge pull request #5241 from meeseeksmachine/auto-backport-of-pr-5237-on-5.x
• ea3363d Backport PR #5237: changelog for 5.4.3
• a8562eb Merge pull request #5240 from meeseeksmachine/auto-backport-of-pr-5236-on-5.x
• bf7fe4d Backport PR #5236: fix loading stopped servers at startup (regression in 5.4)
• 6cdc825 Merge pull request #5239 from meeseeksmachine/auto-backport-of-pr-5238-on-5.x
• ed78493 Backport PR #5238: browser test_spawn_pending_progress : fix server ready exp...
• a7f1583 Merge pull request #5235 from meeseeksmachine/auto-backport-of-pr-5195-on-5.x
• 0c11700 Merge pull request #5234 from meeseeksmachine/auto-backport-of-pr-5194-on-5.x
• 67578a1 Backport PR #5195: allow callable default_url to return a falsy value to mean...
• Additional commits viewable in compare view

Updates numpy from 2.2.4 to 2.4.1

Release notes

Sourced from numpy's releases.

2.4.1 (Jan 10, 2026)

NumPy 2.4.1 Release Notes

The NumPy 2.4.1 is a patch release that fixes bugs discoved after the 2.4.0 release. In particular, the typo SeedlessSequence is preserved to enable wheels using the random Cython API and built against NumPy < 2.4.0 to run without errors.

This release supports Python versions 3.11-3.14

Contributors

A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• Alexander Shadchin
• Bill Tompkins +
• Charles Harris
• Joren Hammudoglu
• Marten van Kerkwijk
• Nathan Goldbaum
• Raghuveer Devulapalli
• Ralf Gommers
• Sebastian Berg

Pull requests merged

A total of 15 pull requests were merged for this release.

• #30490: MAINT: Prepare 2.4.x for further development
• #30503: DOC: numpy.select: fix default parameter docstring...
• #30504: REV: Revert part of #30164 (#30500)
• #30506: TYP: numpy.select: allow passing array-like default...
• #30507: MNT: use if constexpr for compile-time branch selection
• #30513: BUG: Fix leak in flat assignment iterator
• #30516: BUG: fix heap overflow in fixed-width string multiply (#30511)
• #30523: BUG: Ensure summed weights returned by np.average always are...
• #30527: TYP: Fix return type of histogram2d
• #30594: MAINT: avoid passing ints to random functions that take double...
• #30595: BLD: Avoiding conflict with pygit2 for static build
• #30596: MAINT: Fix msvccompiler missing error on FreeBSD
• #30608: BLD: update vendored Meson to 1.9.2
• #30620: ENH: use more fine-grained critical sections in array coercion...
• #30623: BUG: Undo result type change of quantile/percentile but keep...

2.4.0 (Dec 20, 2025)

NumPy 2.4.0 Release Notes

The NumPy 2.4.0 release continues the work to improve free threaded Python support, user dtypes implementation, and annotations. There are many expired

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the numpy/numpy-release <https://github.com/numpy/numpy-release>__ repository.

The commands can be copied into the command line, but be sure to replace 2.4.0 with the correct version. This should be read together with the :ref:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:

• Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.
• You can use the keyring app to store the PyPI password for twine. See the online twine documentation for details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in pyproject.toml. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.

Update 2.4.0 milestones

Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.

Check the numpy-release repo

... (truncated)

Commits

• d24bb7f Merge pull request #30624 from charris/prepare-for-2.4.1
• d3bfd6d REL: Prepare for the NumPy 2.4.1 release
• abe3d86 Merge pull request #30623 from charris/backport-30601
• 5d89078 TST: Add test showing that q promotes (for "interpolating ones")
• 16890ce BUG: Fix result type change and make weak q safe
• bf7ef0b Merge pull request #30620 from charris/backport-30514
• 3d3af25 ENH: use more fine-grained critical sections in array coercion internals (#30...
• 8b7f197 Merge pull request #30608 from charris/update-vendored-meson
• 30999f6 BLD: update vendored Meson to 1.9.2
• e6bea65 Merge pull request #30596 from charris/remove-msvccompiler-check
• Additional commits viewable in compare view

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[github-actions]

Dependency Review

The following issues were found:

• ✅ 0 vulnerable package(s)
• ✅ 0 package(s) with incompatible licenses
• ✅ 0 package(s) with invalid SPDX license definitions
• ⚠️ 2 package(s) with unknown licenses.

See the Details below.

License Issues

tensorflow/requirements.txt

Package	Version	License	Issue Type
pillow	12.1.1	Null	Unknown License

tensorflow/serving/requirements.txt

Package	Version	License	Issue Type
pillow	12.1.1	Null	Unknown License

OpenSSF Scorecard

Package	Version	Score	Details
pip/pillow	12.1.1	Unknown	Unknown
pip/numpy	2.4.2	Unknown	Unknown
pip/pillow	12.1.1	Unknown	Unknown

Scanned Files

• tensorflow/requirements.txt
• tensorflow/serving/requirements.txt