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non port: math/py-numexpr/pkg-descr

Number of commits found: 6

Wednesday, 7 Sep 2022
21:58 Stefan Eßer (se) search for other commits by this committer
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)
commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 fb16dfe
Sunday, 3 Jan 2021
20:08 sunpoet search for other commits by this committer
Update to 2.7.2

Changes:	https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
Original commitRevision:560134 
Wednesday, 25 Apr 2018
16:42 amdmi3 search for other commits by this committer
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
Original commitRevision:468282 
Sunday, 4 Oct 2015
19:01 sunpoet search for other commits by this committer
- 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
Original commitRevision:398618 
Saturday, 21 Mar 2015
20:07 sunpoet search for other commits by this committer
- Update to 2.4
- Update WWW

Changes:	https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
Original commitRevision:381854 
Monday, 5 Jul 2010
08:18 wen search for other commits by this committer
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
Original commit

Number of commits found: 6