[52307] trunk/dports

portindex at macports.org portindex at macports.org
Sat Jun 13 15:54:20 PDT 2009


Revision: 52307
          http://trac.macports.org/changeset/52307
Author:   portindex at macports.org
Date:     2009-06-13 15:54:15 -0700 (Sat, 13 Jun 2009)
Log Message:
-----------

Total number of ports parsed:	5845 
Ports successfully parsed:	5845	 
Ports failed:			0

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

Modified: trunk/dports/PortIndex
===================================================================
--- trunk/dports/PortIndex	2009-06-13 22:33:29 UTC (rev 52306)
+++ trunk/dports/PortIndex	2009-06-13 22:54:15 UTC (rev 52307)
@@ -4846,6 +4846,8 @@
 variants universal portdir math/qhull description {Programs and library for computing convex hulls.} homepage http://www.qhull.org epoch 0 platforms darwin name qhull long_description {Qhull computes the convex hull, Delaunay triangulation, Voronoi diagram, halfspace intersection about a point, furthest-site Delaunay triangulation, and furthest-site Voronoi diagram. The software runs in 2-d, 3-d, 4-d, and higher dimensions. Qhull implements the Quickhull algorithm for computing the convex hull. It handles roundoff errors from floating point arithmetic. Qhull also computes volumes, surface areas, and approximations to the convex hull.} maintainers mmoll categories math version 2003.1 revision 0
 scalc 448
 depends_build port:smake portdir math/scalc description {tool for simple integer calculations or for converting numbers} homepage http://www.fokus.fraunhofer.de/research/cc/berlios/employees/joerg.schilling/private/ epoch 0 platforms darwin name scalc maintainers nomaintainer long_description {The calc command may be used to do simple integer calculations or to convert numbers from one radix to another.} categories math version 1.15 revision 1
+shogun 720
+variants {elwms python r octave glpk doc universal} depends_build port:gcc43 portdir math/shogun description {The machine learning toolbox's focus is on large scale kernel methods} homepage http://www.shogun-toolbox.org/ epoch 0 platforms darwin depends_lib {port:swig port:atlas port:readline port:glpk port:python25 port:py25-numpy} name shogun long_description {{The machine learning toolbox's focus is on large scale kernel methods} and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, among them the state of the art OCAS, LibSVM, SVMLight, SVMLin and GPDT.} maintainers jameskyle version 0.7.3 categories {math science} revision 0
 slepc 629
 variants {arpack universal} portdir math/slepc description {Scalable Library for Eigenvalue Problem Computations} homepage http://www.grycap.upv.es/slepc epoch 0 platforms darwin name slepc depends_lib port:petsc long_description {SLEPc is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix.} maintainers mmoll categories {math science} version 3.0.0-p3 revision 0
 stp 538
@@ -8340,8 +8342,8 @@
 portdir python/py25-pylons description {Pylons is a lightweight web framework.} homepage http://pylonshq.com/ epoch 0 platforms darwin depends_lib {port:py25-setuptools port:py25-routes port:py25-myghty port:py25-paste port:py25-pastedeploy port:py25-pastescript port:py25-simplejson port:py25-WebHelpers port:py25-nose port:py25-beaker port:py25-formencode port:py25-cheetah} name py25-pylons maintainers {openmaintainer stechert akitada} long_description {Pylons combines the very best ideas from the worlds of Ruby, Python and Perl, providing a structured but extremely flexible Python web framework. It's also one of the first projects to leverage the emerging WSGI standard, which allows extensive re-use and flexibility -- but only if you need it. Out of the box, Pylons aims to make web development fast, flexible and easy.} version 0.9.6.2 categories {python www} revision 0
 py25-pymc 733
 variants {gcc42 gcc43 g95} portdir python/py25-pymc description {Bayesian statistical models and fitting algorithms for python} homepage http://code.google.com/p/pymc/ epoch 0 platforms darwin depends_lib {port:python25 port:py25-numpy port:gcc43} name py25-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 {inmachina.com:max openmaintainer} version 2.0 categories python revision 0
-py25-pymvpa 822
-variants {scipy pynifti hcluster libsvm matplotlib pywavelet} portdir python/py25-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:py25-numpy port:git-core port:py25-pynifti port:py25-hcluster port:libsvm port:swig} name py25-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 ucla.edu:jameskyle version current categories python revision 0
+py25-pymvpa 916
+variants {scipy pynifti hcluster libsvm matplotlib pywavelet shogun} depends_build port:git-core portdir python/py25-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:py25-numpy port:git-core port:py25-setuptools port:py25-scipy port:py25-pynifti port:py25-hcluster port:libsvm port:swig port:py25-pywavelets port:shogun} name py25-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
 py25-pynifti 591
 portdir python/py25-pynifti description {PyNIfTI aims to provide easy access to NIfTI images from within Python.} homepage http://niftilib.sourceforge.net/pynifti epoch 0 platforms darwin depends_lib {port:python25 port:py25-numpy port:nifticlib port:swig} name py25-pynifti maintainers ucla.edu:jameskyle long_description {{PyNIfTI aims to provide easy access to NIfTI images from within Python..} It uses SWIG-generated wrappers for the NIfTI reference library and provides the NiftiImage class for Python-style access to the image data.} version 0.20081017.1 categories python revision 0
 py25-pyobjc 649
@@ -8398,8 +8400,6 @@
 portdir python/py25-setuptools description {distutils enhancement for build and distribution} homepage http://peak.telecommunity.com/DevCenter/setuptools epoch 0 platforms darwin depends_lib port:python25 name py25-setuptools maintainers stechert long_description {setuptools is a collection of enhancements to the Python distutils that allow you to more easily build and distribute Python packages, especially ones that have dependencies on other packages.} version 0.6c9 categories {python devel} revision 0
 py25-shapely 596
 portdir python/py25-shapely description {Shapely is a Python package for manipulation and analysis of 2D geospatial geometries} homepage http://trac.gispython.org/projects/PCL/wiki/Shapely epoch 0 platforms darwin depends_lib {port:python25 port:geos} name py25-shapely maintainers {landonf openmaintainer} long_description {Shapely is a Python package for manipulation and analysis of 2D geospatial geometries. It is based on GEOS (http://geos.refractions.net). Shapely 1.0 is not concerned with data formats or coordinate reference systems.} version 1.0.11 categories {python devel} revision 0
-py25-shogun 1156
-variants {cplex atlas glpk lp_solve universal} portdir python/py25-shogun description {The machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM).} homepage http://www.shogun-toolbox.org epoch 0 platforms darwin depends_lib {port:python25 port:py25-numpy port:gcc43 port:readline port:py25-setuptools port:atlas port:glpk port:lp_solve} name py25-shogun long_description {{The machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM).} It provides a generic SVM object interfacing to several different SVM implementations, among them the state of the art OCAS, LibSVM , SVMLight, SVMLin and GPDT . Each of the SVMs can be combined with a variety of kernels. The toolbox not only provides efficient implementations of the most common kernels, like the Linear, Polynomial, Gaussian and Sigmoid Kernel but also comes with a number of recent string kernels as e.g. the Locality
  Improved , Fischer , TOP , Spectrum , Weighted Degree Kernel (with shifts).} maintainers ucla.edu:jameskyle categories {python science math} version 0.6.7 revision 0
 py25-simplejson 373
 portdir python/py25-simplejson description {simplejson is a JSON encoder and decoder.} homepage http://undefined.org/python/#simplejson epoch 0 platforms darwin depends_lib port:py25-setuptools name py25-simplejson maintainers {openmaintainer stechert akitada} long_description {{simplejson is a JSON encoder and decoder.}} version 2.0.9 categories {python www} revision 0
 py25-simpy 376

Modified: trunk/dports/PortIndex.quick
===================================================================
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