casa-mp-base

# -*- 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

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PortSystem          1.0

PortGroup           github 1.0

PortGroup           python 1.0

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github.setup        PyMVPA PyMVPA 2.6.0 upstream/

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name                py-pymvpa

revision            0

categories-append   science math

platforms           darwin

license             MIT

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python.versions     27 33 34 35

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maintainers         stromnov openmaintainer

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description         MultiVariate Pattern Analysis (MVPA) in Python.

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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  9e2f2672dd4b8e69802a72daf9b80279e8a39c1d \

                    sha256  a0991ce8524843052e9d53259971395ba4446f86bdc4b9a7ad358a3ff82fd10a

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if {${name} ne ${subport}} {

    depends_build-append \

                        port:py${python.version}-setuptools

    depends_lib-append  port:py${python.version}-numpy \

                        port:libsvm

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    patchfiles-append   patch-setup.py.diff

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    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}"

}