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
withno_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.