[58697] trunk/dports

[portindex at macports.org]

Revision: 58697
          http://trac.macports.org/changeset/58697
Author:   portindex at macports.org
Date:     2009-10-02 17:53:48 -0700 (Fri, 02 Oct 2009)
Log Message:
-----------

Total number of ports parsed:	6229 
Ports successfully parsed:	6229	 
Ports failed:			0

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

Modified: trunk/dports/PortIndex
===================================================================
--- trunk/dports/PortIndex	2009-10-02 23:53:58 UTC (rev 58696)
+++ trunk/dports/PortIndex	2009-10-03 00:53:48 UTC (rev 58697)
@@ -9216,8 +9216,8 @@
 portdir python/py26-pymacs description {python/emacs integration} homepage http://pymacs.progiciels-bpi.ca/pymacs.html epoch 0 platforms darwin depends_lib port:py26-setuptools name py26-pymacs maintainers nomaintainer long_description {Pymacs is a powerful tool which, once started from Emacs, allows both-way communication between Emacs Lisp and Python. Pymacs aims Python as an extension language for Emacs rather than the other way around, and this asymmetry is reflected in some design choices. Within Emacs Lisp code, one may load and use Python modules. Python functions may themselves use Emacs services, and handle Emacs Lisp objects kept in Emacs Lisp space.} version 0.23 categories python revision 0
 py26-pymc 737
 variants {gcc42 gcc43 g95} portdir python/py26-pymc description {Bayesian statistical models and fitting algorithms for python} homepage http://code.google.com/p/pymc/ epoch 0 platforms darwin depends_lib {port:python26 port:py26-numpy port:gcc43} name py26-pymc long_description {PyMC is a python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility makes it applicable to a large suite of problems as well as easily extensible. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.} maintainers mnick depends_extract bin:unzip:unzip version 2.0 categories python revision 0
-py26-pymongo 368
-portdir python/py26-pymongo description {Python access to mongodb} homepage http://www.mongodb.org/ epoch 0 platforms darwin depends_lib port:python26 name py26-pymongo maintainers {blb openmaintainer} long_description {The PyMongo distribution contains tools for interacting with the Mongo database from Python.} version 0.16 categories {python databases} revision 0
+py26-pymongo 367
+portdir python/py26-pymongo description {Python access to mongodb} homepage http://www.mongodb.org/ epoch 0 platforms darwin depends_lib port:python26 name py26-pymongo maintainers {blb openmaintainer} long_description {The PyMongo distribution contains tools for interacting with the Mongo database from Python.} version 1.0 categories {python databases} revision 0
 py26-pymvpa 887
 variants no_shogun depends_build port:git-core portdir python/py26-pymvpa depends_fetch bin:git:git-core description {PyMVPA is a Python module intended to ease pattern classification analyses of large datasets.} homepage http://www.pymvpa.org epoch 0 platforms darwin depends_lib {port:py26-numpy port:git-core port:py26-setuptools port:py26-scipy port:py26-pynifti port:py26-hcluster port:libsvm port:swig port:py26-pywavelets port:shogun port:py26-matplotlib} name py26-pymvpa long_description {{PyMVPA is a Python module intended to ease pattern classification analyses of large datasets..} In the neuroimaging contexts such analysis techniques are also known as decoding or MVPA analysis. PyMVPA provides high-level abstraction of typical processing steps and a number of implementations of some popular algorithms.} maintainers jameskyle version 0.4.2 categories python revision 0
 py26-pynifti 594

Modified: trunk/dports/PortIndex.quick
===================================================================
(Binary files differ)
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