# -*- 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
# $Id$

PortSystem          1.0

name                wapiti
version             1.4.0
revision            1
categories          math textproc
maintainers         hum openmaintainer

description         A simple and fast discriminative sequence labelling toolkit
long_description    Wapiti is a very fast toolkit for segmenting and labeling \
                    sequences with discriminative models. It is based on maxent \
                    models, maximum entropy Markov models and linear-chain CRF \
                    and proposes various optimization and regularization methods \
                    to improve both the computational complexity and the \
                    prediction performance of standard models. Wapiti is ranked \
                    first on the sequence tagging task for several month on \
                    MLcomp web site.

homepage            http://wapiti.limsi.fr/
platforms           darwin
license             BSD

master_sites        ${homepage}
checksums           rmd160  30814c66bb944f148167ed7b34f60eca8c418862 \
                    sha256  2f1617c55c826c63fb56c75bf9a25fb37088cf30bee61bcb5e6820b0f4483a4c

use_configure       no

variant universal {}

build.args          CC=${configure.cc} CFLAGS="${configure.cflags} [get_canonical_archflags]"
build.target        wapiti

destroot.args       PREFIX=${prefix}

post-destroot {
    # install additional documents.
    set docdir ${prefix}/share/doc/${name}
    xinstall -d ${destroot}${docdir}
    xinstall -m 644 -W ${worksrcpath} \
        COPYING \
        HISTORY \
        ${destroot}${docdir}
    # install sample data.
    set wapiti_dir ${prefix}/share/${name}
    xinstall -d ${destroot}${wapiti_dir}
    copy ${worksrcpath}/dat ${destroot}${wapiti_dir}
}

livecheck.type      regex
livecheck.regex     ${name}-(\[0-9.\]+)\\.tar