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
fix-py34-tests.patch 0000000789 789 Bytes
numpy-1.17.2.zip 0006493595 6.19 MB
numpy-1.9.0-remove-__declspec.patch 0000001001 1001 Bytes
numpy-buildfix.patch 0000000737 737 Bytes
python-numpy-rpmlintrc 0000000167 167 Bytes
python-numpy.changes 0000043533 42.5 KB
python-numpy.spec 0000009922 9.69 KB
riscv.patch 0000000768 768 Bytes
s390x.patch 0000000742 742 Bytes
Revision 84 (latest revision is 129)
Dominique Leuenberger's avatar Dominique Leuenberger (dimstar_suse) accepted request 734807 from Tomáš Chvátal's avatar Tomáš Chvátal (scarabeus_iv) (revision 84)
- Force cythonization to ensure build under different versions of
  python

- disable tests TestF77ReturnCharacter and TestF90ReturnCharacter for s390x
  https://github.com/numpy/numpy/issues/11831
  to make the package build.
  * s390x.patch

- Update to 1.17.2:
  * #14418: BUG: Fix aradixsort indirect indexing.
  * #14420: DOC: Fix a minor typo in dispatch documentation.
  * #14421: BUG: test, fix regression in converting to ctypes
  * #14430: BUG: Do not show Override module in private error classes.
  * #14432: BUG: Fixed maximum relative error reporting in assert_allclose.
  * #14433: BUG: Fix uint-overflow if padding with linear_ramp and negative...
  * #14436: BUG: Update 1.17.x with 1.18.0-dev pocketfft.py.
- Add dep on pytest-xdist and use threaded tests execution
  shaving around 400s on local build
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