[Python-announce] NumPy 1.26.4 released

[Charles R Harris]

Hi All,

On behalf of the NumPy team, I'm pleased to announce the release of NumPy
1.26.4. NumPy 1.26.4 is a maintenance release that fixes bugs and
regressions discovered after the 1.26.3 release. This is the last planned
release in the 1.26.x series. Wheels can be downloaded from PyPI
<https://pypi.org/project/numpy/1.26.4/>; source archives, release notes,
and wheel hashes are available on Github
<https://github.com/numpy/numpy/releases/tag/v1.26.4>

*Contributors*

A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

- Charles Harris
- Elliott Sales de Andrade
- Lucas Colley +
- Mark Ryan +
- Matti Picus
- Nathan Goldbaum
- Ola x Nilsson +
- Pieter Eendebak
- Ralf Gommers
- Sayed Adel
- Sebastian Berg
- Stefan van der Walt
- Stefano Rivera


*Pull requests merged*

A total of 19 pull requests were merged for this release.

- #25323: BUG: Restore missing asstr import
- #25523: MAINT: prepare 1.26.x for further development
- #25539: BUG: ``numpy.array_api``: fix ``linalg.cholesky`` upper
decomp...
- #25584: CI: Bump azure pipeline timeout to 120 minutes
- #25585: MAINT, BLD: Fix unused inline functions warnings on clang
- #25599: BLD: include fix for MinGW platform detection
- #25618: TST: Fix test_numeric on riscv64
- #25619: BLD: fix building for windows ARM64
- #25620: MAINT: add ``newaxis`` to ``__all__`` in ``numpy.array_api``
- #25630: BUG: Use large file fallocate on 32 bit linux platforms
- #25643: TST: Fix test_warning_calls on Python 3.12
- #25645: TST: Bump pytz to 2023.3.post1
- #25658: BUG: Fix AVX512 build flags on Intel Classic Compiler
- #25670: BLD: fix potential issue with escape sequences in
``__config__.py``
- #25718: CI: pin cygwin python to 3.9.16-1 and fix typing tests [skip...
- #25720: MAINT: Bump cibuildwheel to v2.16.4
- #25748: BLD: unvendor meson-python on 1.26.x and upgrade to
meson-python...
- #25755: MAINT: Include header defining backtrace
- #25756: BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711)


Cheers,

Charles Harris