Bump the dev-dependencies group across 1 directory with 2 updates

[dependabot]

Updates the requirements on numpy and pytest-asyncio to permit the latest version.
Updates numpy to 2.2.0

Release notes

Sourced from numpy's releases.

2.2.0 (Dec 8, 2024)

NumPy 2.2.0 Release Notes

The NumPy 2.2.0 release is quick release that brings us back into sync with the usual twice yearly release cycle. There have been an number of small cleanups, as well as work bringing the new StringDType to completion and improving support for free threaded Python. Highlights are:

• New functions matvec and vecmat, see below.
• Many improved annotations.
• Improved support for the new StringDType.
• Improved support for free threaded Python
• Fixes for f2py

This release supports Python versions 3.10-3.13.

Deprecations

• _add_newdoc_ufunc is now deprecated. ufunc.__doc__ = newdoc should be used instead.

  (gh-27735)

Expired deprecations

• bool(np.array([])) and other empty arrays will now raise an error. Use arr.size > 0 instead to check whether an array has no elements.

  (gh-27160)

Compatibility notes

• numpy.cov now properly transposes single-row (2d array) design matrices when rowvar=False. Previously, single-row design matrices would return a scalar in this scenario, which is not correct, so this is a behavior change and an array of the appropriate shape will now be returned.

  (gh-27661)

New Features

• New functions for matrix-vector and vector-matrix products

  Two new generalized ufuncs were defined:

  • numpy.matvec - matrix-vector product, treating the arguments as stacks of matrices and column vectors,

... (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

• e7a123b Merge pull request #27928 from charris/prepare-2.2.0
• d97d071 MAINT: Try fixing MacOS cirrus build failures. [wheel build]
• 1ed7b67 REL: Prepare for the NumPy 2.2.0 release [wheel build]
• fd9e7ef Merge pull request #27916 from charris/backport-27915
• 2e0941f MAINT: Bump actions/cache from 4.1.2 to 4.2.0
• 013656d Merge pull request #27912 from charris/backport-27877
• 7895ba6 Merge pull request #27913 from charris/backport-27896
• ee8d1cd PERF: improve multithreaded ufunc scaling (#27896)
• 77fff6b ENH: Refactor __qualname__ across API (#27877)
• b30a338 Merge pull request #27911 from charris/backport-27891
• Additional commits viewable in compare view

Updates pytest-asyncio to 0.24.0

Release notes

Sourced from pytest-asyncio's releases.

pytest-asyncio 0.24.0

0.24.0 (2024-08-22)

• BREAKING: Updated minimum supported pytest version to v8.2.0
• Adds an optional loop_scope keyword argument to pytest.mark.asyncio. This argument controls which event loop is used to run the marked async test. #706, #871
• Deprecates the optional scope keyword argument to pytest.mark.asyncio for API consistency with pytest_asyncio.fixture. Users are encouraged to use the loop_scope keyword argument, which does exactly the same.
• Raises an error when passing scope or loop_scope as a positional argument to @pytest.mark.asyncio. #812
• Fixes a bug that caused module-scoped async fixtures to fail when reused in other modules #862 #668

Commits

• fb5422f docs: Set release date for v0.24 in changelog.
• 6dc7f58 docs: Add migration guides for pytest-asyncio v0.21 and v0.23.
• 1bfc181 Wire Sphinx builds into the RTD config via tox
• f03cf13 Build(deps): Bump hypothesis in /dependencies/default
• 69540bf Build(deps): Bump attrs from 24.1.0 to 24.2.0 in /dependencies/default
• b0ccfc5 Build(deps): Bump hypothesis in /dependencies/default
• 574f1db Build(deps): Bump babel from 2.15.0 to 2.16.0 in /dependencies/docs
• ae30dac Update .readthedocs.yaml to install pytest-asyncio
• 972a704 Derive project version using importlib
• d587a52 [pre-commit.ci] pre-commit autoupdate
• Additional commits viewable in compare view

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[AlexanderWells-diamond]

The test failures here are a bit odd; it implies numpy==2.2.0 has an incompatible change when compared to numpy==2.1.0. Perhaps we will need another release of p4p built against the latest numpy version...

[evalott100]

Perhaps we will need another release of p4p built against the latest numpy version...

If I had to guess, it's the pytest-asyncio bump which causes the failure, not numpy. We pinned pytest-asyncio a while ago because they made a breaking change which our code wasn't compatible with.

[dependabot]

Superseded by #156.