Bump the python-packages group across 1 directory with 2 updates

[dependabot]

Updates the requirements on torchdata and numpy to permit the latest version.
Updates torchdata to 0.10.1

Release notes

Sourced from torchdata's releases.

v0.10.1

What's Changed

This release introduces 3 major changes:

1. Introducing torchdata.nodes, a library of extensible and composable iterators that lets you chain together common dataloading and pre-proc operations! This initial release includes the following features, with more on the way:

   • Multi-threaded paralellism, and experimental support for Free-Threaded (No-GIL) Python, in addition to the typical Multi-process parallelism.
     • Note: FT Python support is experimental, requires Python 3.13t and torch>=2.5.0, and is currently only tested for Linux
   • Multi-dataset weighted sampling
   • State Management through state_dict/load_state_dict methods
   • Near-feature-parity with torch.utils.data.DataLoader, with full support for existing torch.utils.data.Dataset (IterableDataset and persistent_workers coming soon!).
   • Refer to the torchdata.nodes docs for more details.

2. This release drops support for DataPipes and DataLoader2. Release v0.9 was the last stable release which includes them. Please see this issue for more details.

3. PyTorch's official conda channel is deprecated. TorchData has removed its conda builds as well. TorchData will be available for installation through pip, on PyPI and download.pytorch.org.

Full Changelog: pytorch/data@v0.9.0...v0.10.1

@​divyanshk @​ramanishsingh @​andrewkho

Commits

• a4bed25 bump version (#1403)
• 7f97f48 Cherry pick commits for 0.10.1 (#1400)
• dabbdcc pin test-infra-ref (#1402)
• ad8a71c add new torchdata.nodes doc file (#1390) (#1392)
• 31d3a1a Exclude 3.13 for windows on release v10 (#1386)
• 5a74cf0 update readme in release branch v10 (#1384)
• 075661c update test_release.yml (#1382)
• 6557f22 Adding doc strings ahead of new release (#1378)
• 72c4d12 Fix test flakiness and test for it (#1380)
• 60380f1 Add a README for torchdata.nodes (#1379)
• Additional commits viewable in compare view

Updates numpy to 2.2.2

Release notes

Sourced from numpy's releases.

2.2.2 (Jan 18, 2025)

NumPy 2.2.2 Release Notes

NumPy 2.2.2 is a patch release that fixes bugs found after the 2.2.1 release. The number of typing fixes/updates is notable. This release supports Python versions 3.10-3.13.

Contributors

A total of 8 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• Alicia Boya García +
• Charles Harris
• Joren Hammudoglu
• Kai Germaschewski +
• Nathan Goldbaum
• PTUsumit +
• Rohit Goswami
• Sebastian Berg

Pull requests merged

A total of 16 pull requests were merged for this release.

• #28050: MAINT: Prepare 2.2.x for further development
• #28055: TYP: fix void arrays not accepting str keys in __setitem__
• #28066: TYP: fix unnecessarily broad integer binop return types (#28065)
• #28112: TYP: Better ndarray binop return types for float64 &...
• #28113: TYP: Return the correct bool from issubdtype
• #28114: TYP: Always accept date[time] in the datetime64 constructor
• #28120: BUG: Fix auxdata initialization in ufunc slow path
• #28131: BUG: move reduction initialization to ufunc initialization
• #28132: TYP: Fix interp to accept and return scalars
• #28137: BUG: call PyType_Ready in f2py to avoid data races
• #28145: BUG: remove unnecessary call to PyArray_UpdateFlags
• #28160: BUG: Avoid data race in PyArray_CheckFromAny_int
• #28175: BUG: Fix f2py directives and --lower casing
• #28176: TYP: Fix overlapping overloads issue in 2->1 ufuncs
• #28177: TYP: preserve shape-type in ndarray.astype()
• #28178: TYP: Fix missing and spurious top-level exports

Checksums

MD5

749cb2adf8043551aae22bbf0ed3130a  numpy-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl
bc79fa2e44316b7ce9bacb48a993ed91  numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl
c6b2caa2bbb645b5950dccb77efb1dbb  numpy-2.2.2-cp310-cp310-macosx_14_0_arm64.whl
8c410efac169af880cacbbac8a731658  numpy-2.2.2-cp310-cp310-macosx_14_0_x86_64.whl

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.1.0 release on Linux, modified for building with GitHub Actions and cibuildwheels and uploading to the anaconda.org staging repository for NumPy <https://anaconda.org/multibuild-wheels-staging/numpy>_. The commands can be copied into the command line, but be sure to replace 2.1.0 by 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, three files need to be edited:

• .github/workflows/wheels.yml # for github cibuildwheel
• tools/ci/cirrus_wheels.yml # for cibuildwheel aarch64/arm64 builds
• pyproject.toml # for classifier and minimum version check.

Make these changes in an ordinary PR against main and backport if necessary. Add [wheel build] at the end of the title line of the commit summary so that wheel builds will be run to test the changes. We currently release wheels for new Python versions after the first Python rc once manylinux and cibuildwheel support it. For Python 3.11 we were able to release within a week of the rc1 announcement.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.1.x branch.

Update 2.1.0 milestones

... (truncated)

Commits

• fd8a68e Merge pull request #28184 from charris/prepare-2.2.2
• 0d106a5 REL: Prepare for the NumPy 2.2.2 release [wheel build]
• dfdd35a Merge pull request #28175 from charris/backport-28056
• e4517a8 Merge pull request #28176 from charris/backport-28168
• 2c0432b Merge pull request #28178 from charris/backport-28170
• 2230a08 Merge pull request #28177 from charris/backport-28169
• b04e32c TYP: Fix missing and spurious top-level exports
• 6a5f537 TYP: preserve shape-type in ndarray.astype()
• f782790 TYP: Fix overlapping overloads issue in 2->1 ufuncs
• a19acf1 BUG: Fix casing for f2py directives
• Additional commits viewable in compare view

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