# -*- 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
description structured learning and predict toolkit for tasks such as \
g2p conversion, based on discriminative leaning
long_description Slearp (structured learning and prediction) is the ${description}.
homepage http://sourceforge.jp/projects/slearp/
distname ${name}_${version}
master_sites sourceforge_jp:slearp/60712/
checksums rmd160 e15088a7336f137f588ea3062128ecfec950f69d \
sha256 f4849952e714861351e30d444602383f4d02b4be3f5b11566f00c11398d05990
patchfiles patch-Makefile.diff
build.args CXX="${configure.cxx}" \
CXXFLAGS="${configure.cxxflags} [get_canonical_archflags cxx]"
xinstall -m 755 ${worksrcpath}/slearp ${destroot}${prefix}/bin
set docdir ${prefix}/share/doc/${name}
xinstall -d ${destroot}${docdir}
xinstall -m 644 -W ${worksrcpath} \
set exdir ${prefix}/share/examples/${name}
xinstall -d ${destroot}${exdir}
copy ${worksrcpath}/g2p_example ${destroot}${exdir}
livecheck.url http://sourceforge.jp/projects/slearp/releases/
livecheck.regex "${name}_(\\d+(?:\\.\\d+)*)${extract.suffix}"