# -*- 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 PortGroup python 1.0 PortGroup select 1.0 name py-astroML version 0.4.1 revision 0 categories-append science license BSD platforms {darwin any} supported_archs noarch maintainers {aronnax @lpsinger} openmaintainer python.versions 38 39 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 https://www.astroml.org checksums rmd160 3953350b06d20c22ea7a4d27b90b7db94968ffe4 \ sha256 a4efa8acee889c92088ff2433d24793d24cfe7aba15d523e2e0cc12d81e4b899 \ size 105183 if {${name} ne ${subport}} { # fix permissions post-extract { fs-traverse item ${worksrcpath} { if {[file isdirectory ${item}]} { file attributes ${item} -permissions a+rx } elseif {[file isfile ${item}]} { file attributes ${item} -permissions a+r } } } depends_lib-append \ port:py${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 py${python.version}-${python.rootname}_addons for faster C implementations of some algorithms" { depends_run-append \ port:py${python.version}-${python.rootname}_addons } default_variants +addons test.run yes }