python-numexpr
Numexpr is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like "3*a+4*b") are accelerated
and use less memory than doing the same calculation in Python.
- Links to devel:langua...hon:numeric / python-numexpr
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Source Files (show unmerged sources)
| Filename | Size | Changed |
|---|---|---|
| fix-test-max-threads-unset.patch | 0000000722 722 Bytes | |
| numexpr-2.10.1.tar.gz | 0000101580 99.2 KB | |
| python-numexpr.changes | 0000027697 27 KB | |
| python-numexpr.spec | 0000002761 2.7 KB |
Latest Revision
Eric Schirra (ecsos)
committed
(revision 8)
- Add upstream patch fix-test-max-threads-unset.patch
- Remove upstreamed patch numexpr-pr485-allow-numpy1.patch
- Update to 2.10.1:
- The default number of 'safe' threads has been upgraded to 16
(instead of previous 8). That means that if your CPU has > 16
cores, the default is to use 16. You can always override this with
the "NUMEXPR_MAX_THREADS" environment variable.
- NumPy 1.23 is now the minimum supported.
- Preliminary support for Python 3.13. Thanks to Karolina Surma.
- Fix tests on nthreads detection (closes: #479). Thanks to
@avalentino.
- The build process has been modernized and now uses the
pyproject.toml file for more of the configuration options.
- Replace revert-to-numpy1.patch by numexpr-pr485-allow-numpy1.patch
in order to be able to compile with either numpy major version
- Add patch revert-to-numpy1.patch to restore compatibility with numpy v1
* revert of upstream commit, drop when numpy v2 comes to Factory
- Update to 2.10.0
* Support for NumPy 2.0.0. This is still experimental, so please
report any issues you find. Thanks to Clément Robert and Thomas
Caswell for the work.
* Avoid erroring when OMP_NUM_THREADS is empty string. Thanks to
Patrick Hoefler.
* Do not warn if OMP_NUM_THREAD set.
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