NumPy: array processing for numbers, strings, records and objects

Edit Package python-numpy

NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.

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Source Files
Filename Size Changed
_constraints 0000000182 182 Bytes
_multibuild 0000000056 56 Bytes
numpy-1.26.2.tar.gz 0015664248 14.9 MB
numpy-1.9.0-remove-__declspec.patch 0000001152 1.13 KB
numpy-buildfix.patch 0000001025 1 KB
python-numpy-rpmlintrc 0000000478 478 Bytes
python-numpy.changes 0000148894 145 KB
python-numpy.spec 0000013270 13 KB
Revision 122 (latest revision is 129)
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1127600 from Steve Kowalik's avatar Steve Kowalik (StevenK) (revision 122)
- Update to 1.26.2:
  * TYP: Trim down the ``_NestedSequence.__getitem__`` signature
  * BUG: fix choose refcount leak
  * TST: fix running the test suite in builds without BLAS/LAPACK
  * BUG: random: Fix generation of nan by dirichlet.
  * TST: fix distutils tests for deprecations in recent setuptools...
  * MAINT: Remove versioneer
  * MAINT: Pin upper version of sphinx.
  * ENH: Add prefix to _ALIGN Macro
  * BUG: cleanup warnings [skip azp][skip circle][skip travis][skip...
  * BUG: ``asv dev`` has been removed, use ``asv run``.
  * BUG: Fix meson build failure due to unchanged inplace auto-generated...
  * BUG: fix issue with git-version script, needs a shebang to run
  * BUG: Use a default assignment for git_hash [skip ci]
  * BUG: fix NPY_cast_info error handling in choose
  * BUG: Fix common block handling in f2py
  * BUG: Fix assumed length f2py regression
  * MAINT: Harmonize fortranobject
  * TYP: add kind argument to numpy.isin type specification
  * BUG: fix comparisons between masked and unmasked structured arrays
  * ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including...
  * TYP: Add the missing ``casting`` keyword to ``np.clip``
  * TST: convert cython test from setup.py to meson
  * MAINT: Fixup ``fromnumeric.pyi``
  * BUG, ENH: Fix ``iso_c_binding`` type maps
  * TYP: Allow ``binary_repr`` to accept any object
  * TYP: Explicitly declare ``dtype`` and ``generic`` hashable
  * ENH: Refactor the typing "reveal" tests using `typing.assert_type`
  * ENH: ``meson`` backend for ``f2py``
  * MAINT: Refactor partial load Workaround for Clang
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