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
ignore-pkg_resources-deprecation.patch 0000000555 555 Bytes
numpy-1.25.2.tar.gz 0010805282 10.3 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 0000145792 142 KB
python-numpy.spec 0000013693 13.4 KB
Revision 120 (latest revision is 129)
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1110295 from Dirk Mueller's avatar Dirk Mueller (dirkmueller) (revision 120)
- limit to Cython < 3
  * Change to a non-deprecated function from hypothesis.
  * Ignore DeprecationWarning from pkg_resources.
- changes from version 1.22.2 (CVE-2021-41495, bsc#1193911):
  * Support Python >= 3.9.8 changes.
- update to 1.21.0 (bsc#1193913, CVE-2021-33430, bsc#1193907,
  CVE-2021-41496):
  * BUG: Fix failing mypy test in 1.20.x.
  * BUG: Fix small issues found with pytest-leaks
  * Annotations for NumPy functions. This work is ongoing and
  * Wider use of SIMD to increase execution speed of ufuncs. Much
    work has been done in introducing universal functions that
    will ease use of modern features across different hardware
  * Preliminary work in changing the dtype and casting
    implementations in order to provide an easier path to
    extending dtypes. This work is ongoing but enough has been
  * Extensive documentation improvements comprising some 185 PR
    merges. This work is ongoing and part of the larger project to
  * Further cleanups related to removing Python 2.7. This improves
- Fix hpc for multiflavors (needs gh#openSUSE/hpc#3)
- update to version 1.17.3 (bsc#1149203, jsc#SLE-8532):
    when either ``stable`` or ``mergesort`` is passed as the method.
- Update to version 1.16.1 (jsc#SLE-8532, bsc#1149203):
  * This Fixes CVE-2019-6446 and obsoletes
  * CVE-2019-6446_numpy_load.patch in older dists (bsc#1122208)
- add s390 to the ifarch conditional to build without openblas
  Numpy assumes either libblas.so or libcblas.so to contain all CBLAS
  and BLAS functions. However the cblas-devel in Leap and Tumbleweed
  * gh-5231: fix build in c99 mode
  * Numerous performance improvements in various areas, most
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