Sourced from numpy's releases.

v2.2.6 (May 17, 2025)

NumPy 2.2.6 Release Notes

NumPy 2.2.6 is a patch release that fixes bugs found after the 2.2.5 release. It is a mix of typing fixes/improvements as well as the normal bug fixes and some CI maintenance.

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.

• Charles Harris
• Ilhan Polat
• Joren Hammudoglu
• Marco Gorelli +
• Matti Picus
• Nathan Goldbaum
• Peter Hawkins
• Sayed Adel

Pull requests merged

A total of 11 pull requests were merged for this release.

• #28778: MAINT: Prepare 2.2.x for further development
• #28851: BLD: Update vendor-meson to fix module_feature conflicts arguments...
• #28852: BUG: fix heap buffer overflow in np.strings.find
• #28853: TYP: fix NDArray[floating] + float return type
• #28864: BUG: fix stringdtype singleton thread safety
• #28865: MAINT: use OpenBLAS 0.3.29
• #28889: MAINT: from_dlpack thread safety fixes
• #28913: TYP: Fix non-existent CanIndex annotation in ndarray.setfield
• #28915: MAINT: Avoid dereferencing/strict aliasing warnings
• #28916: BUG: Fix missing check for PyErr_Occurred() in _pyarray_correlate.
• #28966: TYP: reject complex scalar types in ndarray.__ifloordiv__

Checksums

MD5

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e604aae2ef6e01fb92ecc39aca0424d9  numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl

... (truncated)

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)

• 2b686f6 Merge pull request #28980 from charris/prepare-2.2.6
• ed41828 REL: Prepare for the NumPy 2.2.6 release [wheel build]
• 83e4e7f Merge pull request #28966 from charris/backport-28958
• 248f0cb TYP: add rejection-tests for complex ndarray floordiv
• 5bad9da TYP: reject complex scalar types in ndarray.__ifloordiv__
• 6c42775 Merge pull request #28915 from charris/backport-28892
• 4277e7c Merge pull request #28916 from charris/backport-28898
• bd1c863 BUG: Fix missing check for PyErr_Occurred() in _pyarray_correlate. (#28898)
• 87d1d8a MAINT: Avoid dereferencing/strict aliasing warnings during complex casts in `...
• 9e50659 Merge pull request #28913 from charris/backport-28908
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