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

# $Id$

​

PortSystem          1.0

PortGroup           python 1.0

PortGroup           select 1.0

​

set realname        astroML

​

name                py-${realname}

version             0.3

categories-append   science

license             BSD

platforms           darwin

supported_archs     noarch

maintainers         aronnax openmaintainer

​

python.versions     26 27 33 34

​

description         tools for machine learning and data mining in astronomy

​

long_description    AstroML is a Python module for machine learning and data \

                    mining built on numpy, scipy, scikit-learn, and \

                    matplotlib, and distributed under the 3-Clause BSD \

                    license. It contains a growing library of statistical and \

                    machine learning routines for analyzing astronomical data \

                    in python, loaders for several open astronomical datasets, \

                    and a large suite of examples of analyzing and visualizing \

                    astronomical datasets.

​

homepage            http://www.astroml.org

master_sites        http://pypi.python.org/packages/source/[string index ${realname} 0]/${realname}

distname            ${realname}-${version}

​

checksums           md5     56d5c281ca079eb569ef1898be1604db \

                    sha1    dbf1a775f2dff6e3f3721d1b69a65a5d757bde95 \

                    rmd160  2a029523b0fcc768acb4e2a3efe1050e24a32cc8

​

if {${name} eq ${subport}} {

    livecheck.type      regex

    livecheck.url       http://pypi.python.org/pypi?:action=doap&name=${realname}

    livecheck.regex     {<release><Version><revision>([^<]+)</revision></Version></release>}

} else {

    depends_lib-append \

                    port:py${python.version}-numpy \

                    port:py${python.version}-scipy \

                    port:py${python.version}-matplotlib \

                    port:py${python.version}-scikit-learn \

                    port:py${python.version}-astropy

​

    variant addons description "Install optional package ${name}_addons for faster C implementations of some algorithms" {

        depends_run-append \

                    port:${name}_addons

    }

​

    default_variants +addons

​

    livecheck.type  none

}