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numexpr - Fast numerical array expression evaluator for Python and NumPy.

Browse Source 
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
This commit is contained in:
Wen Heping 2010-07-05 08:18:12 +00:00
parent 8f5b73415a
commit 714db4465a
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=257393
5 changed files with 85 additions and 0 deletions
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1
math/Makefile
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@ -453,6 +453,7 @@
SUBDIR += py-networkx SUBDIR += py-networkx
SUBDIR += py-numarray SUBDIR += py-numarray
SUBDIR += py-numeric SUBDIR += py-numeric
SUBDIR += py-numexpr
SUBDIR += py-numpy SUBDIR += py-numpy
SUBDIR += py-plastex SUBDIR += py-plastex
SUBDIR += py-probstat SUBDIR += py-probstat

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math/py-numexpr/Makefile Normal file
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@ -0,0 +1,24 @@
# New ports collection makefile for: numexpr
# Date created: 05 July 2010
# Whom: Ju Pengfei <ju.pengfei@gmail.com>
#
# $FreeBSD$
#
PORTNAME= numexpr
PORTVERSION= 1.3.1
CATEGORIES= math python
MASTER_SITES= GOOGLE_CODE
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= jupengfei@gmail.com
COMMENT= Fast numerical array expression evaluator for Python and NumPy
BUILD_DEPENDS= ${PYNUMPY}
RUN_DEPENDS= ${BUILD_DEPENDS}
USE_PYTHON= yes
USE_PYDISTUTILS= easy_install
PYEASYINSTALL_ARCHDEP= yes
.include <bsd.port.mk>

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math/py-numexpr/distinfo Normal file
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@ -0,0 +1,3 @@
MD5 (numexpr-1.3.1.tar.gz) = 1ca0cf40350913fa620f73cbd906378a
SHA256 (numexpr-1.3.1.tar.gz) = 52bae05999975b181a49903371bd22073669c210d2e34a26d6b87bf684c35263
SIZE (numexpr-1.3.1.tar.gz) = 56972

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math/py-numexpr/pkg-descr Normal file
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@ -0,0 +1,16 @@
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/

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math/py-numexpr/pkg-plist Normal file
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@ -0,0 +1,41 @@
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/__init__.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/cpuinfo.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/necompiler.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/utils.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/version.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/expressions.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/__config__.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/interpreter.so
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/__init__.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/cpuinfo.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/necompiler.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/utils.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/version.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/expressions.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/__config__.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/__init__.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/cpuinfo.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/necompiler.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/utils.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/version.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/expressions.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/__config__.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/interpreter.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/interpreter.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/interpreter.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/tests/__init__.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/tests/test_numexpr.py
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/tests/__init__.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/tests/test_numexpr.pyc
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/tests/__init__.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/tests/test_numexpr.pyo
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/EGG-INFO/PKG-INFO
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/EGG-INFO/SOURCES.txt
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/EGG-INFO/dependency_links.txt
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/EGG-INFO/not-zip-safe
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/EGG-INFO/top_level.txt
%%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/EGG-INFO/native_libs.txt
@dirrm %%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr/tests
@dirrm %%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/numexpr
@dirrm %%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%/EGG-INFO
@dirrm %%PYTHON_SITELIBDIR%%/%%PYEASYINSTALL_EGG%%