non port: math/py-numexpr/pkg-descr |
Number of commits found: 6 |
Wednesday, 7 Sep 2022
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21:58 Stefan Eßer (se)
Remove WWW entries moved into port Makefiles
Commit b7f05445c00f has added WWW entries to port Makefiles based on
WWW: lines in pkg-descr files.
This commit removes the WWW: lines of moved-over URLs from these
pkg-descr files.
Approved by: portmgr (tcberner)
fb16dfe |
Sunday, 3 Jan 2021
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20:08 sunpoet
Update to 2.7.2
Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
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Wednesday, 25 Apr 2018
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16:42 amdmi3
Switch all pypi.python.org WWWs to a new PyPi home pypi.org where
they now redirect to anyway. All new urls checked to return 200,
I've fixed a couple of them in the process.
Approved by: portmgr blanket, mat
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Sunday, 4 Oct 2015
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19:01 sunpoet
- Update to 2.4.4
- Update MASTER_SITES: move back to CHEESESHOP
- Add LICENSE_FILE
- Reformat pkg-descr and remove trailing space
- Add PyPI as primary WWW
Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
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Saturday, 21 Mar 2015
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20:07 sunpoet
- Update to 2.4
- Update WWW
Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
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Monday, 5 Jul 2010
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08:18 wen
numexpr - Fast numerical array expression evaluator for Python and NumPy.
The numexpr package evaluates multiple-operator array expressions many times
faster than NumPy can. It accepts the expression as a string, analyzes it,
rewrites it more efficiently, and compiles it to faster Python code on the fly.
It's the next best thing to writing the expression in C and compiling it with
a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler
at runtime.
Also, numexpr has support for the Intel VML (Vector Math Library) -- integrated
in Intel MKL (Math Kernel Library) --, allowing nice speed-ups when computing
transcendental functions (like trigonometrical, exponentials...) on top of
Intel-compatible platforms. This support also allows to use multiple cores in
your computations.
WWW: http://code.google.com/p/numexpr/
PR: ports/148372
Submitted by: Ju Pengfei <jupengfei@gmail.com>
Feature safe: yes
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Number of commits found: 6 |