pip: bump numpy from 2.4.6 to 2.5.0

[dependabot]

Bumps numpy from 2.4.6 to 2.5.0.

Release notes

Sourced from numpy's releases.

v2.5.0 (June 21, 2026)

NumPy 2.5.0 Release Notes

Numpy 2.5.0 is a transitional release. It drops support for Python 3.11, marking the end of distutils, and expires a large number of deprecations made in the 2.0.x release. It also improves free threading and brings sorting into compliance with the array-api standard with the addition of descending sorts. There is also a fair amount of preparation for Python 3.15, which will be supported starting with the first rc.

This release supports Python versions 3.12-3.14.

Highlights

• Distutils has been removed,
• Many expired deprecations, see below,
• Many new deprecations, see below,
• Many static typing improvements.
• Improved support for free threading,
• Support for descending sorts,

See New Features below for other additions.

Deprecations

• numpy.char.chararray is deprecated. Use an ndarray with a string or bytes dtype instead.

  (gh-30605)

• numpy.take now correctly checks if the result can be cast to the provided out=out under the same-kind rule. A DeprecationWarning is given now when this check fails. Previously, take incorrectly checked if out could be cast to the result (the wrong direction). This deprecation also affects compress and possibly other functions. (Future versions of NumPy may tighten the casting check further.)

  (gh-30615)

• The numpy.char.[as]array functions are deprecated. Use an numpy.[as]array with a string or bytes dtype instead.

  (gh-30802)

• Setting the dtype attribute is deprecated because mutating an array is unsafe if an array is shared, especially by multiple threads. As an alternative, you can create a view with a new dtype via array.view(dtype=new_dtype).

  (gh-29244)

... (truncated)

Commits

• 6910b28 Merge pull request #31706 from charris/prepare-2.5.0-release
• e0acd2b REL: Prepare for the NumPy 2.5.0 release.
• 8d928b7 Merge pull request #31704 from charris/backport-31649
• c2055ba MAINT: update openblas to 0.3.33.112.0 (#31649)
• ce17c81 Merge pull request #31703 from charris/backport-31609
• 3de6203 BUG: fix StringDType distinct-allocator bugs and add tests (#31609)
• c723971 Merge pull request #31700 from charris/backport-31694
• 64513b2 MAINT: Bump pypa/cibuildwheel from 3.4.1 to 4.1.0
• 04707f0 Merge pull request #31698 from charris/try-fix-emscripten
• 5cf0686 MAINT: Try to fix emscripten wheel build.
• Additional commits viewable in compare view

[github-actions]

Original Dependabot description

Bumps numpy from 2.4.6 to 2.5.0.

Release notes

Sourced from numpy's releases.

v2.5.0 (June 21, 2026)

NumPy 2.5.0 Release Notes

Numpy 2.5.0 is a transitional release. It drops support for Python 3.11, marking the end of distutils, and expires a large number of deprecations made in the 2.0.x release. It also improves free threading and brings sorting into compliance with the array-api standard with the addition of descending sorts. There is also a fair amount of preparation for Python 3.15, which will be supported starting with the first rc.

This release supports Python versions 3.12-3.14.

Highlights

• Distutils has been removed,
• Many expired deprecations, see below,
• Many new deprecations, see below,
• Many static typing improvements.
• Improved support for free threading,
• Support for descending sorts,

See New Features below for other additions.

Deprecations

• numpy.char.chararray is deprecated. Use an ndarray with a string or bytes dtype instead.

  (gh-30605)

• numpy.take now correctly checks if the result can be cast to the provided out=out under the same-kind rule. A DeprecationWarning is given now when this check fails. Previously, take incorrectly checked if out could be cast to the result (the wrong direction). This deprecation also affects compress and possibly other functions. (Future versions of NumPy may tighten the casting check further.)

  (gh-30615)

• The numpy.char.[as]array functions are deprecated. Use an numpy.[as]array with a string or bytes dtype instead.

  (gh-30802)

• Setting the dtype attribute is deprecated because mutating an array is unsafe if an array is shared, especially by multiple threads. As an alternative, you can create a view with a new dtype via array.view(dtype=new_dtype).

  (gh-29244)

... (truncated)

Commits

• 6910b28 Merge pull request #31706 from charris/prepare-2.5.0-release
• e0acd2b REL: Prepare for the NumPy 2.5.0 release.
• 8d928b7 Merge pull request #31704 from charris/backport-31649
• c2055ba MAINT: update openblas to 0.3.33.112.0 (#31649)
• ce17c81 Merge pull request #31703 from charris/backport-31609
• 3de6203 BUG: fix StringDType distinct-allocator bugs and add tests (#31609)
• c723971 Merge pull request #31700 from charris/backport-31694
• 64513b2 MAINT: Bump pypa/cibuildwheel from 3.4.1 to 4.1.0
• 04707f0 Merge pull request #31698 from charris/try-fix-emscripten
• 5cf0686 MAINT: Try to fix emscripten wheel build.
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)