# -*- 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
PortGroup           python 1.0

name                py-cvxmod
set my_name         cvxmod
version             0.4.6
categories-append   math devel
platforms           darwin
supported_archs     noarch
license             GPL-3+
maintainers         nomaintainer

description         Python module for convex optimization 
long_description    CVXMOD is a Python-based tool for expressing and \
                    solving convex optimization problems. It uses \
                    CVXOPT as its solver. It is developed by Jacob \
                    Mattingley, as PhD work under Stephen Boyd at \
                    Stanford University.
homepage            http://cvxmod.net/

# homepage is down as of 2014-09-12
#master_sites        ${homepage}dist/
master_sites        http://distfiles.macports.org/python
distname            ${my_name}-${version}
checksums           md5     e5d859659853809e5c7fc2e2970be88e \
                    sha1    077179644623861f569e2ab7719481eec716ef17 \
                    rmd160  ca87ce7a7073a6896403562f08033b2e057ad37f

python.versions     27

if {$subport ne $name} {
    depends_lib-append  port:py${python.version}-cvxopt

    livecheck.type  none
} else {
    livecheck.type  regex
    livecheck.url   ${homepage}
    livecheck.regex {v(\d+(?:\.\d+)*), released}
}