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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Source Files
| Filename | Size | Changed |
|---|---|---|
| _constraints | 0000000182 182 Bytes | |
| _multibuild | 0000000056 56 Bytes | |
| numpy-1.21.6.zip | 0010274544 9.8 MB | |
| numpy-1.9.0-remove-__declspec.patch | 0000001001 1001 Bytes | |
| numpy-buildfix.patch | 0000001025 1 KB | |
| numpy-fix-cpu_asimdfhm.patch | 0000001224 1.2 KB | |
| python-numpy-rpmlintrc | 0000000250 250 Bytes | |
| python-numpy.changes | 0000128951 126 KB | |
| python-numpy.spec | 0000012242 12 KB |
Revision 109 (latest revision is 129)
Dominique Leuenberger (dimstar_suse)
accepted
request 979707
from
Dirk Mueller (dirkmueller)
(revision 109)
- update to 1.21.6: * Do not forward `__(deep)copy__` calls of `_GenericAlias`... * Fix float16 einsum fastpaths using wrong tempvar * Print os error message when the executable not exist * Force ``npymath` ` to respect ``npy_longdouble`` * Fix failure to create aligned, empty structured dtype * provide a convenience function to replace npy_load_module * update wheel to version that supports python3.10 * Clear errors correctly in F2PY conversions * add a warningfilter to fix pytest workflow. * Help boost::python libraries at least not crash - drop bpo-45167-fixes.patch (upstream)
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