# -*- 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

name                gibbslda
version             0.2
categories          math
maintainers         nomaintainer

description         a C/C++ implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling

long_description    GibbsLDA++ is a C/C++ implementation of Latent Dirichlet \
                    Allocation (LDA) using Gibbs Sampling technique for parameter \
                    estimation and inference. It is very fast and is designed to \
                    analyze hidden/latent topic structures of large-scale datasets \
                    including very large collections of text/Web documents.

homepage            http://gibbslda.sourceforge.net/
platforms           darwin
license             GPL-2+

master_sites        sourceforge:/project/gibbslda/GibbsLDA%2B%2B/${version}
checksums           rmd160  9a11c3ee3c9883ffb4a56d350b761864b493d378 \
                    sha256  4ca7b51bd2f098534f2fdf82c3f861f5d8bf92e29a6b7fbdc50c3c2baeb070ae

distname            GibbsLDA++-${version}

patchfiles          patch-src_utils.cpp.diff

post-extract {
    system -W ${worksrcpath} "make clean"
}

use_configure       no

variant universal {}

build.args          CC="${configure.cxx} ${configure.cxxflags} [get_canonical_archflags cxx]"

destroot {
    # install lda executable as 'gibbslda'.
    xinstall -m 755 ${worksrcpath}/src/lda ${destroot}${prefix}/bin/${name}
    # install additional documents.
    set docdir ${prefix}/share/doc/${name}
    xinstall -d ${destroot}${docdir}
    xinstall -m 644 -W ${worksrcpath} \
        README docs/GibbsLDA++Manual.pdf docs/index.html \
        ${destroot}${docdir}
}

livecheck.regex     {GibbsLDA\+\+\-([\d\.]+)\.tar}
