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.
- Developed at devel:languages:python:numeric
- Sources inherited from project openSUSE:Factory
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Source Files
| Filename | Size | Changed |
|---|---|---|
| numexpr-2.8.7.tar.gz | 0000103410 101 KB | |
| python-numexpr.changes | 0000025129 24.5 KB | |
| python-numexpr.spec | 0000002429 2.37 KB |
Revision 21 (latest revision is 25)
Ana Guerrero (anag+factory)
accepted
request 1129235
from
Dirk Mueller (dirkmueller)
(revision 21)
- update to 2.8.7:
* More permissive rules in sanitizing regular expression: allow to
access digits after the . with scientific notation.
* Don't reject double underscores that are not at the start or end of
a variable name (pandas uses those), or scientific-notation numbers
with digits after the decimal point.
* Do not use numpy.alltrue in the test suite, as it has been
deprecated (replaced by numpy.all).
* Python 3.12 support
* Thanks to Kirill Kouzoubov for a range of fixes to constants parsing that was
* Thanks to Mark Harfouche for noticing that we no longer need `numpy` version
- skip python3.6 build (no numpy)
- python3 package added
* Fixed several issues with different platforms not supporting
* Now, when trying to use pure Python boolean operators, 'and',
'or' and 'not, an error is issued and suggesting that '&', '|'
- fix requiements for SLE 11
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