[46789] trunk/dports/PortIndex

Thu Feb 12 23:52:13 PST 2009

Revision: 46789
          http://trac.macports.org/changeset/46789
Author:   portindex at macports.org
Date:     2009-02-12 23:52:13 -0800 (Thu, 12 Feb 2009)
Log Message:
-----------

Total number of ports parsed:	5553 
Ports successfully parsed:	5553	 
Ports failed:			0

Modified Paths:
--------------
    trunk/dports/PortIndex

Modified: trunk/dports/PortIndex
===================================================================

--- trunk/dports/PortIndex	2009-02-13 07:16:53 UTC (rev 46788)
+++ trunk/dports/PortIndex	2009-02-13 07:52:13 UTC (rev 46789)
@@ -7926,6 +7926,8 @@
 variants smp variant_desc {smp {Specify this to try to exploit multiple processors. A work in progress ...}} portdir python/py25-numarray description {array manipulation and computational library for python} homepage http://www.stsci.edu/resources/software_hardware/numarray epoch 0 platforms darwin depends_lib port:python25 name py25-numarray maintainers nomaintainer long_description {Numarray provides array manipulation and computational capabilities similar to those found in IDL, Matlab, or Octave. Using numarray, it is possible to write many efficient numerical data processing applications directly in Python without using any C, C++ or Fortran code.} categories {python devel math} version 1.5.2 revision 0
 py25-numeric 584
 variants {darwin_7 macosx puredarwin} variant_desc {darwin_7 {Platform variant, do not select manually} macosx {Platform variant, do not select manually} puredarwin {Platform variant, do not select manually}} portdir python/py25-numeric description {fast numerical array language for python} homepage http://numpy.scipy.org/ epoch 0 platforms darwin depends_lib port:python25 name py25-numeric maintainers nomaintainer long_description {Numerical Python adds a fast, compact, multidimensional array language facility to Python.} categories {python devel math} version 24.2 revision 1
+py25-numexpr 1048
+description {Multiple-operator array expression evaluator} portdir python/py25-numexpr homepage http://code.google.com/p/numexpr/ epoch 0 platforms darwin depends_lib {port:python25 port:py25-numpy} name py25-numexpr maintainers {blb openmaintainer} long_description {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 comp
 utations.} categories {python math} version 1.2 revision 0
 py25-numpy 410
 description {The core utilities for the scientific library scipy for Python} portdir python/py25-numpy homepage http://numpy.scipy.org/ epoch 0 platforms darwin depends_lib {port:python25 port:fftw-3 port:py25-hashlib port:py25-nose} name py25-numpy maintainers {ram openmaintainer} long_description {{The core utilities for the scientific library scipy for Python}} categories python version 1.2.1 revision 0
 py25-ode 333
@@ -8182,6 +8184,8 @@
 description {A Python unittest extension.} portdir python/py26-nose homepage http://somethingaboutorange.com/mrl/projects/nose/ epoch 0 platforms darwin depends_lib port:py26-setuptools name py26-nose maintainers {mcalhoun openmaintainer} long_description {A unittest extension offering automatic test suite discovery, simplified test authoring, and output capture. Nose provides an alternate test discovery and running process for unittest, one that is intended to mimic the behavior of py.test as much as is reasonably possible without resorting to magic.} categories {python www} version 0.10.4 revision 0
 py26-numeric 592
 variants {darwin_7 macosx puredarwin} variant_desc {darwin_7 {Platform variant, do not select manually} macosx {Platform variant, do not select manually} puredarwin {Platform variant, do not select manually}} portdir python/py26-numeric description {fast numerical array language for python} homepage http://numpy.scipy.org/ epoch 0 platforms darwin depends_lib port:python26 name py26-numeric maintainers {jmr openmaintainer} long_description {Numerical Python adds a fast, compact, multidimensional array language facility to Python.} categories {python devel math} version 24.2 revision 0
+py26-numexpr 1147
+description {Multiple-operator array expression evaluator} portdir python/py26-numexpr homepage http://code.google.com/p/numexpr/ epoch 0 platforms darwin depends_lib {port:python26 port:py26-numpy} name py26-numexpr maintainers {blb openmaintainer} long_description {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 comp
 utations. WARNING: numpy 1.2.1, on which py26-numexpr depends, is not yet fully functional under Python 2.6.} categories {python math} version 1.2 revision 0
 py26-numpy 397
 description {The core utilities for the scientific library scipy for Python} portdir python/py26-numpy homepage http://numpy.scipy.org/ epoch 0 platforms darwin depends_lib {port:python26 port:fftw-3 port:py26-nose} name py26-numpy maintainers {mcalhoun openmaintainer} long_description {{The core utilities for the scientific library scipy for Python}} categories python version 1.2.1 revision 0
 py26-opengl 557
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