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-1.24.1.tar.gz 0010903184 10.4 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 0000141097 138 KB
python-numpy.spec 0000013066 12.8 KB
Revision 114 (latest revision is 129)
Dominique Leuenberger's avatar Dominique Leuenberger (dimstar_suse) accepted request 1070707 from Matej Cepl's avatar Matej Cepl (mcepl) (revision 114)
- Skip test_ppc64_ibm_double_double128 test on ppc64*
  architectures (gh#numpy/numpy#21094, bsc#1208865).
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