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Accepting request 489486 from devel:languages:python

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Update to 2.6.2
Implement single-spec version

OBS-URL: https://build.opensuse.org/request/show/489486
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numexpr?expand=0&rev=5
This commit is contained in:
Dominique Leuenberger
2017-05-03 13:55:01 +00:00
committed by Git OBS Bridge
parent dffe54c426
commit bcaa149c43
4 changed files with 76 additions and 14 deletions
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python-numexpr.changes
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Wed Apr 19 22:13:57 UTC 2017 - toddrme2178@gmail.com
- Source url must be https.
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Wed Apr 19 18:38:25 UTC 2017 - toddrme2178@gmail.com
- Update to 2.6.2
* Updates to keep with API changes in newer NumPy versions (#228).
Thanks to Oleksandr Pavlyk.
* Removed several warnings (#226 and #227). Thanks to Oleksander Pavlyk.
* Fix bugs in function `stringcontains()` (#230). Thanks to Alexander Shadchin.
* Detection of the POWER processor (#232). Thanks to Breno Leitao.
* Fix pow result casting (#235). Thanks to Fernando Seiti Furusato.
* Fix integers to negative integer powers (#240). Thanks to Antonio Valentino.
* Detect numpy exceptions in expression evaluation (#240). Thanks to Antonio Valentino.
* Better handling of RC versions (#243). Thanks to Antonio Valentino.
- Update to 2.6.1
* Fixed a performance regression in some situations as consequence of
increasing too much the BLOCK_SIZE1 constant. After more careful
benchmarks (both in VML and non-VML modes), the value has been set
again to 1024 (down from 8192). The benchmarks have been made with
a relatively new processor (Intel Xeon E3-1245 v5 @ 3.50GHz), so
they should work well for a good range of processors again.
* Added NetBSD support to CPU detection. Thanks to Thomas Klausner.
- Update to 2.6.0
* Introduced a new re_evaluate() function for re-evaluating the
previous executed array expression without any check. This is meant
for accelerating loops that are re-evaluating the same expression
repeatedly without changing anything else than the operands. If
unsure, use evaluate() which is safer.
* The BLOCK_SIZE1 and BLOCK_SIZE2 constants have been re-checked in
order to find a value maximizing most of the benchmarks in bench/
directory. The new values (8192 and 16 respectively) give somewhat
better results (~5%) overall. The CPU used for fine tuning is a
relatively new Haswell processor (E3-1240 v3).
* The '--name' flag for `setup.py` returning the name of the package
is honored now (issue #215).
- Update to 2.5.2
* conj() and abs() actually added as VML-powered functions, preventing
the same problems than log10() before (PR #212). Thanks to Tom Kooij
for the fix!
- Update to 2.5.1
* Fix for log10() and conj() functions. These produced wrong results
when numexpr was compiled with Intel's MKL (which is a popular build
since Anaconda ships it by default) and non-contiguous data (issue
#210). Thanks to Arne de Laat and Tom Kooij for reporting and
providing a nice test unit.
* Fix that allows numexpr-powered apps to be profiled with pympler.
Thanks to @nbecker.
- Update to 2.5
* Added locking for allowing the use of numexpr in multi-threaded
callers (this does not prevent numexpr to use multiple cores
simultaneously). (PR #199, Antoine Pitrou, PR #200, Jenn Olsen).
* Added new min() and max() functions (PR #195, CJ Carey).
- Implement single-spec version
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Mon Feb 1 11:39:24 UTC 2016 - toddrme2178@gmail.com