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# -*- 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
PortSystem 1.0
PortGroup python 1.0
PortGroup compilers 1.0
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).
platforms darwin
license GPL-2+
homepage http://www.logilab.org/project/logilab-hmm
master_sites http://ftp.logilab.org/pub/hmm/
distname logilab-hmm-${version}
livecheck.url http://ftp.logilab.org/pub/hmm/
livecheck.type regex
livecheck.regex {logilab-hmm-(\d+(?:\.\d+)*)\.tar\.gz}
checksums rmd160 b62f3ac49e4d2681138e55490430c4bdfdf418f6 \
sha256 62f51ea6c7b374cebdc3747b391d314336255cc48b0d2413722400f1d200a1ca \
size 32856
compilers.setup require_fortran
python.versions 27
if {${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
}
}