[66967] trunk/dports/PortIndex

Mon Apr 26 19:47:56 PDT 2010

Revision: 66967
          http://trac.macports.org/changeset/66967
Author:   portindex at macports.org
Date:     2010-04-26 19:47:50 -0700 (Mon, 26 Apr 2010)
Log Message:
-----------
Total number of ports parsed:	2 
Ports successfully parsed:	2 
Ports failed:			0 
Up-to-date ports skipped:	6829

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

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

--- trunk/dports/PortIndex	2010-04-27 01:48:39 UTC (rev 66966)
+++ trunk/dports/PortIndex	2010-04-27 02:47:50 UTC (rev 66967)
@@ -9315,7 +9315,7 @@
 py25-numexpr 1058
 portdir python/py25-numexpr description {Multiple-operator array expression evaluator} homepage http://code.google.com/p/numexpr/ epoch 0 platforms darwin depends_lib {port:python25 port:py25-numpy} name py25-numexpr license unknown maintainers nomaintainer 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 computations.} version 1.3.1 categories {python math} revision 0
 py25-numpy 459
-variants {no_gcc43 no_atlas} portdir python/py25-numpy description {The core utilities for the scientific library scipy for Python} homepage http://numpy.scipy.org/ epoch 0 platforms darwin depends_lib {port:python25 port:fftw-3 port:py25-nose port:atlas port:gcc43} name py25-numpy long_description {{The core utilities for the scientific library scipy for Python}} maintainers {ram openmaintainer} license unknown version 1.4.1 categories python revision 0
+variants {no_gcc43 no_atlas} portdir python/py25-numpy description {The core utilities for the scientific library scipy for Python} homepage http://numpy.scipy.org/ epoch 0 platforms darwin depends_lib {port:python25 port:fftw-3 port:py25-nose port:atlas port:gcc43} name py25-numpy long_description {{The core utilities for the scientific library scipy for Python}} maintainers {ram openmaintainer} license unknown version 1.4.1 categories python revision 1
 py25-ode 346
 portdir python/py25-ode description {Python bindings for The Open Dynamics Engine} homepage http://pyode.sourceforge.net/ epoch 0 platforms darwin depends_lib {port:python25 port:ode} name py25-ode license unknown maintainers jameskyle long_description {{Python bindings for The Open Dynamics Engine.}} version 1.2.0 categories python revision 0
 py25-omniORBpy 453
@@ -9911,7 +9911,7 @@
 py26-numexpr 1165
 portdir python/py26-numexpr description {Multiple-operator array expression evaluator} homepage http://code.google.com/p/numexpr/ epoch 0 platforms darwin depends_lib {port:python26 port:py26-numpy} name py26-numexpr license unknown 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 computations. WARNING: numpy 1.2.1, on which py26-numexpr depends, is not yet fully functional under Python 2.6.} version 1.3.1 categories {python math} revision 0
 py26-numpy 481
-variants {no_gcc43 no_atlas universal} portdir python/py26-numpy description {The core utilities for the scientific library scipy for Python} homepage http://numpy.scipy.org/ epoch 20100319 platforms darwin depends_lib {port:python26 port:fftw-3 port:py26-nose port:atlas port:gcc43} name py26-numpy long_description {{The core utilities for the scientific library scipy for Python}} maintainers {mcalhoun openmaintainer} license unknown version 1.4.1 categories python revision 0
+variants {no_gcc43 no_atlas universal} portdir python/py26-numpy description {The core utilities for the scientific library scipy for Python} homepage http://numpy.scipy.org/ epoch 20100319 platforms darwin depends_lib {port:python26 port:fftw-3 port:py26-nose port:atlas port:gcc43} name py26-numpy long_description {{The core utilities for the scientific library scipy for Python}} maintainers {mcalhoun openmaintainer} license unknown version 1.4.1 categories python revision 1
 py26-ode 346
 portdir python/py26-ode description {Python bindings for The Open Dynamics Engine} homepage http://pyode.sourceforge.net/ epoch 0 platforms darwin depends_lib {port:python26 port:ode} name py26-ode license unknown maintainers jameskyle long_description {{Python bindings for The Open Dynamics Engine.}} version 1.2.0 categories python revision 0
 py26-omniORBpy 453
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