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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10
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Source Files
Filename | Size | Changed |
---|---|---|
_constraints | 0000000182 182 Bytes | |
_multibuild | 0000000056 56 Bytes | |
numpy-1.16.1.zip | 0005070040 4.84 MB | |
numpy-1.9.0-remove-__declspec.patch | 0000000960 960 Bytes | |
numpy-buildfix.patch | 0000000649 649 Bytes | |
python-numpy.changes | 0000036532 35.7 KB | |
python-numpy.spec | 0000008860 8.65 KB | |
riscv.patch | 0000000768 768 Bytes |
Revision 74 (latest revision is 131)
Stephan Kulow (coolo)
accepted
request 679050
from
Todd R (TheBlackCat)
(revision 74)
- Do not bother with standard flavor, just make it default - Execute the tests only on standard package for now not hpc variants - Add constraints for testsuite to not run out of mem/disk space - Use %license macro - Enable testsuite
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