# -*- 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        pytorch fairseq 0.12.2 v
# Change github.tarball_from to 'releases' or 'archive' next update
github.tarball_from tarball
revision            0
name                py-${github.project}

license             MIT
maintainers         nomaintainer

description         Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

long_description    Fairseq(-py) is a sequence modeling toolkit that \
                    allows researchers and developers to train custom \
                    models for translation, summarization, language \
                    modeling and other text generation tasks.

checksums           rmd160  05969920d445518f940eb3bc0bb4fefe74e64d05 \
                    sha256  a34ccef8f779da9dd878fd6d21633de8af8573075e6ef087fd945598cf170c92 \
                    size    12042596

python.versions     310

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

    depends_run-append \
                    port:py${python.version}-cffi \
                    port:py${python.version}-cython \
                    port:py${python.version}-hydra-core \
                    port:py${python.version}-omegaconf \
                    port:py${python.version}-numpy \
                    port:py${python.version}-pytorch \
                    port:py${python.version}-regex \
                    port:py${python.version}-sacrebleu \
                    port:py${python.version}-tqdm

    # https://github.com/pytorch/fairseq#requirements-and-installation
    configure.cxx_stdlib \
                    libc++

    use_parallel_build \
                    no

    test.run        yes
}
