NumPy: array processing for numbers, strings, records and objects
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.
- Developed at devel:languages:python:numeric
- Sources inherited from project openSUSE:Factory
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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 (anag+factory)
accepted
request 1127600
from
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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