NumPy v1.22.4 releases: fundamental package for scientific computing with Python

NumPy is the fundamental package for scientific computing with Python. It contains among other things:

• a powerful N-dimensional array object
• sophisticated (broadcasting) functions
• tools for integrating C/C++ and Fortran code
• useful linear algebra, Fourier transform, and random number capabilities

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

NumPy v1.22.4 releases

Changelog

A total of 22 pull requests were merged for this release.

• #21191: TYP, BUG: Fix np.lib.stride_tricks re-exported under the…
• #21192: TST: Bump mypy from 0.931 to 0.940
• #21243: MAINT: Explicitly re-export the types in numpy._typing
• #21245: MAINT: Specify sphinx, numpydoc versions for CI doc builds
• #21275: BUG: Fix typos
• #21277: ENH, BLD: Fix math feature detection for wasm
• #21350: MAINT: Fix failing simd and cygwin tests.
• #21438: MAINT: Fix failing Python 3.8 32-bit Windows test.
• #21444: BUG: add linux guard per #21386
• #21445: BUG: Allow legacy dtypes to cast to datetime again
• #21446: BUG: Make mmap handling safer in frombuffer
• #21447: BUG: Stop using PyBytesObject.ob_shash deprecated in Python 3.11.
• #21448: ENH: Introduce numpy.core.setup_common.NPY_CXX_FLAGS
• #21472: BUG: Ensure compile errors are raised correclty
• #21473: BUG: Fix segmentation fault
• #21474: MAINT: Update doc requirements
• #21475: MAINT: Mark npy_memchr with no_sanitize("alignment") on clang
• #21512: DOC: Proposal – make the doc landing page cards more similar…
• #21525: MAINT: Update Cython version to 0.29.30.
• #21536: BUG: Fix GCC error during build configuration
• #21541: REL: Prepare for the NumPy 1.22.4 release.
• #21547: MAINT: Skip tests that fail on PyPy.

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