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

​

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}