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           python 1.0

PortGroup           compilers 1.0

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name                py-logilab-hmm

version             0.5.0

revision            2

maintainers         minimoog.org:sb

description         Python Hidden Markov model implementation

long_description    logilab-hmm is an implementation of Hidden Markov model \

                    and associated algorithms (Viterbi and Baum-Welsh).

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platforms           darwin

license             GPL-2+

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homepage            http://www.logilab.org/project/logilab-hmm

master_sites        http://ftp.logilab.org/pub/hmm/

distname            logilab-hmm-${version}

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livecheck.url       http://ftp.logilab.org/pub/hmm/

livecheck.type      regex

livecheck.regex     {logilab-hmm-(\d+(?:\.\d+)*)\.tar\.gz}

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checksums           rmd160  b62f3ac49e4d2681138e55490430c4bdfdf418f6 \

                    sha256  62f51ea6c7b374cebdc3747b391d314336255cc48b0d2413722400f1d200a1ca \

                    size    32856

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compilers.setup     require_fortran

python.versions     27

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

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

                            port:py${python.version}-numpy

​

    universal_variant       no

    python.add_archflags    no

​

    post-destroot {

        xinstall -m 755 -d ${destroot}${prefix}/share/doc/${subport}

        xinstall -m 644 -W ${worksrcpath} README \

            ${destroot}${prefix}/share/doc/${subport}

        file delete ${destroot}${python.pkgd}/logilab/__init__.py

    }

}