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 | |
| fix-py34-tests.patch | 0000000789 789 Bytes | |
| numpy-1.18.2.zip | 0005433240 5.18 MB | |
| numpy-1.9.0-remove-__declspec.patch | 0000001001 1001 Bytes | |
| numpy-buildfix.patch | 0000000737 737 Bytes | |
| python-numpy-rpmlintrc | 0000000250 250 Bytes | |
| python-numpy.changes | 0000051693 50.5 KB | |
| python-numpy.spec | 0000009857 9.63 KB | |
| s390x.patch | 0000000742 742 Bytes |
Revision 88 (latest revision is 129)
Dominique Leuenberger (dimstar_suse)
accepted
request 792356
from
Tomáš Chvátal (scarabeus_iv)
(revision 88)
- Do not use alternatives on HPC as it is pain to get it working
- Also still install f2py<PYTHON_MAJOR> that is used by many other
depending software
- Use update-alternatives for /usr/bin/f2py
- update to version 1.18.2:
* #15675: TST: move _no_tracing to testing._private
* #15676: MAINT: Large overhead in some random functions
* #15677: TST: Do not create gfortran link in azure Mac testing.
* #15679: BUG: Added missing error check in ndarray.__contains__
* #15722: MAINT: use list-based APIs to call subprocesses
* #15734: BUG: fix logic error when nm fails on 32-bit
- update to version 1.18.1
* The cython random extension test was not using a temporary
directory for building, resulting in a permission violation.
* Numpy distutils was appending -std=c99 to all C compiler runs,
leading to changed behavior and compile problems downstream.
That flag is now only applied when building numpy C code.
- update to version 1.18.0:
+ Highlights
* The C-API for ``numpy.random`` has been defined and documented.
* Basic infrastructure for linking with 64 bit BLAS and LAPACK libraries.
* Many documentation improvements.
+ New functions
* Multivariate hypergeometric distribution added to ``numpy.random``
+ Deprecations
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