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Bump the production-dependencies group with 2 updates #176

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@dependabot dependabot bot commented on behalf of github Nov 1, 2024

Updates the requirements on transformers and numpy to permit the latest version.
Updates transformers to 4.46.1

Release notes

Sourced from transformers's releases.

Patch release v4.46.1

Patch release v4.4.61

This is mostly for fx and onnx issues!

** Fix regression loading dtype #34409 by @​SunMarc ** LLaVa: latency issues #34460 by @​zucchini-nlp ** Fix pix2struct #34374 by @​IlyasMoutawwakil ** Fix onnx non-exposable inplace aten op #34376 by @​IlyasMoutawwakil ** Fix torch.fx issue related to the new loss_kwargs keyword argument #34380 by @​michaelbenayoun

Commits

Updates numpy to 2.1.2

Release notes

Sourced from numpy's releases.

2.1.2 (Oct 5, 2024)

NumPy 2.1.2 Release Notes

NumPy 2.1.2 is a maintenance release that fixes bugs and regressions discovered after the 2.1.1 release.

The Python versions supported by this release are 3.10-3.13.

Contributors

A total of 11 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Charles Harris
  • Chris Sidebottom
  • Ishan Koradia +
  • João Eiras +
  • Katie Rust +
  • Marten van Kerkwijk
  • Matti Picus
  • Nathan Goldbaum
  • Peter Hawkins
  • Pieter Eendebak
  • Slava Gorloff +

Pull requests merged

A total of 14 pull requests were merged for this release.

  • #27333: MAINT: prepare 2.1.x for further development
  • #27400: BUG: apply critical sections around populating the dispatch cache
  • #27406: BUG: Stub out get_build_msvc_version if distutils.msvccompiler...
  • #27416: BUILD: fix missing include for std::ptrdiff_t for C++23 language...
  • #27433: BLD: pin setuptools to avoid breaking numpy.distutils
  • #27437: BUG: Allow unsigned shift argument for np.roll
  • #27439: BUG: Disable SVE VQSort
  • #27471: BUG: rfftn axis bug
  • #27479: BUG: Fix extra decref of PyArray_UInt8DType.
  • #27480: CI: use PyPI not scientific-python-nightly-wheels for CI doc...
  • #27481: MAINT: Check for SVE support on demand
  • #27484: BUG: initialize the promotion state to be weak
  • #27501: MAINT: Bump pypa/cibuildwheel from 2.20.0 to 2.21.2
  • #27506: BUG: avoid segfault on bad arguments in ndarray.__array_function__

Checksums

MD5

4aae28b7919b126485c1aaccee37a6ba  numpy-2.1.2-cp310-cp310-macosx_10_9_x86_64.whl
172614423a82ef73d8752ad8a59cbafc  numpy-2.1.2-cp310-cp310-macosx_11_0_arm64.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
  • .travis.yml # for cibuildwheel aarch64 builds
  • setup.py # for classifier and minimum version check.

Make these changes in an ordinary PR against main and backport if necessary. Using the BLD: prefix (build label) for the commit summary will cause the wheel builds to be run so that the changes will be tested, 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
  • f5afe3d Merge pull request #27507 from charris/prepare-2.1.2
  • 6b9ef48 REL: Prepare for the NumPy 2.1.2 release [wheel build]
  • 6d85a24 MAINT: Pin setuptools for Python < 3.12 [wheel build]
  • 7f327d8 Merge pull request #27506 from charris/backport-27503
  • 09e9cd9 BUG: avoid segfault on bad arguments in ndarray.array_function
  • 06b4793 Merge pull request #27501 from charris/backport-27495
  • 364efb5 MAINT: Bump pypa/cibuildwheel from 2.21.1 to 2.21.2
  • df0e261 Merge pull request #27484 from ngoldbaum/use-weak-default
  • fa61bc6 Merge pull request #27481 from charris/backport-27472
  • d6d06ae Merge pull request #27480 from charris/backport-27475
  • Additional commits viewable in compare view

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Updates the requirements on [transformers](https://github.com/huggingface/transformers) and [numpy](https://github.com/numpy/numpy) to permit the latest version.

Updates `transformers` to 4.46.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.44.2...v4.46.1)

Updates `numpy` to 2.1.2
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.26.0...v2.1.2)

---
updated-dependencies:
- dependency-name: transformers
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: production-dependencies
...

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 Nov 1, 2024
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