[65024] trunk/dports
portindex at macports.org
portindex at macports.org
Fri Mar 19 09:54:30 PDT 2010
Revision: 65024
http://trac.macports.org/changeset/65024
Author: portindex at macports.org
Date: 2010-03-19 09:54:28 -0700 (Fri, 19 Mar 2010)
Log Message:
-----------
Total number of ports parsed: 6724
Ports successfully parsed: 6724
Ports failed: 0
Modified Paths:
--------------
trunk/dports/PortIndex
trunk/dports/PortIndex.quick
Modified: trunk/dports/PortIndex
===================================================================
--- trunk/dports/PortIndex 2010-03-19 16:25:14 UTC (rev 65023)
+++ trunk/dports/PortIndex 2010-03-19 16:54:28 UTC (rev 65024)
@@ -9780,8 +9780,8 @@
variants {macosx puredarwin} 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 long_description {Numerical Python adds a fast, compact, multidimensional array language facility to Python.} maintainers {jmr openmaintainer} version 24.2 categories {python devel math} revision 0
py26-numexpr 1149
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 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 458
-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 0 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} version 1.4.0 categories python revision 0
+py26-numpy 465
+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} version 1.3.0 categories python revision 0
py26-ode 330
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 maintainers jameskyle long_description {{Python bindings for The Open Dynamics Engine.}} version 1.2.0 categories python revision 0
py26-omniORBpy 437
Modified: trunk/dports/PortIndex.quick
===================================================================
(Binary files differ)
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