# -*- 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           github 1.0
PortGroup           python 1.0

github.setup        tensorflow kfac 3ee1bec8dcd851d50618cd542a8d1aff92512f7c
# no official release; version from setup.py plus github commit date
version             0.2.3.20200929
revision            0
name                py-${github.project}

platforms           {darwin any}
supported_archs     noarch
license             Apache-2
maintainers         nomaintainer

description         K-FAC for TensorFlow
long_description    K-FAC in TensorFlow is an implementation of K-FAC, \
                    an approximate second-order optimization method, \
                    in TensorFlow.

homepage            https://github.com/tensorflow/kfac
distname            ${github.project}-${version}

checksums           rmd160  dd72ba0076f11a418b15f20faa49ad943d671851 \
                    sha256  691951f6c97bc9e729d84f37e1ac5f3fe596564312d07f734e0e69ae74d16102 \
                    size    1359727

python.versions     39

if {${name} ne ${subport}} {
    depends_run-append \
                    port:py${python.version}-numpy \
                    port:py${python.version}-six \
                    port:py${python.version}-tensorflow-probability

    depends_test-append \
                    port:py${python.version}-tabulate

    test.run        yes

    post-destroot {
        set docdir ${prefix}/share/doc/${subport}
        xinstall -d ${destroot}${docdir}
        xinstall -m 0644 -W ${worksrcpath} LICENSE README.md \
            ${destroot}${docdir}
    }
}