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.
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Source Files
Filename | Size | Changed |
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CVE-2021-33430-bufovrflw-ctors-DoS.patch | 0000001300 1.27 KB | |
CVE-2021-41496-bufovrflw-fortranobject-DoS.patch | 0000001924 1.88 KB | |
_multibuild | 0000000086 86 Bytes | |
numpy-1.17.3.zip | 0006363960 6.07 MB | |
numpy-1.9.0-remove-__declspec.patch | 0000001091 1.07 KB | |
numpy-buildfix.patch | 0000000943 943 Bytes | |
python-numpy.changes | 0000036902 36 KB | |
python-numpy.spec | 0000008906 8.7 KB |
Latest Revision
Stefan Weiberg (suntorytimed)
committed
(revision 2)
- Adjusting if check for gnu-hpc, as standard build pulled in libblas as a dependency. The logic for standard and gnu-hpc was mixed up. (bsc#1195228)
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