# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4 # $Id: Portfile 120330 2014-05-23 14:02:51Z stromnov@macports.org $ PortSystem 1.0 PortGroup github 1.0 PortGroup python 1.0 github.setup PyMVPA PyMVPA 2.3.1 upstream/ name py-pymvpa revision 0 categories-append science math platforms darwin license MIT python.versions 27 33 34 maintainers stromnov openmaintainer description MultiVariate Pattern Analysis (MVPA) in Python. long_description PyMVPA is a Python package intended to ease statistical \ learning analyses of large datasets. It offers \ an extensible framework with a high-level interface \ to a broad range of algorithms for classification, \ regression, feature selection, data import and export. \ While it is not limited to the neuroimaging domain, \ it is eminently suited for such datasets. homepage http://www.pymvpa.org checksums rmd160 516a6c02a0d6750e1d4ff671009f29b9dcf9075d \ sha256 0e8c910493b353b7bda24a1c33114fabeb61286b2a4fb86304a9b2a426e01de9 if {${name} ne ${subport}} { depends_build-append \ port:py${python.version}-setuptools depends_lib-append port:py${python.version}-numpy \ port:libsvm patchfiles-append patch-setup.py.diff post-patch { reinplace "s|@@PREFIX@@|${prefix}|g" ${worksrcpath}/setup.py } build.args-append --with-system-libsvm livecheck.type none } else { livecheck.regex "archive/upstream/(\[^\"\]+)${extract.suffix}" }