# -*- 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

name                py-dask
version             1.2.2
revision            0
categories-append   devel
platforms           darwin
license             BSD
supported_archs     noarch

python.versions     27 34 35 36 37

maintainers         {stromnov @stromnov} openmaintainer

description         Minimal task scheduling abstraction.

long_description    Dask provides multi-core execution on larger-than-memory \
                    datasets using blocked algorithms and task scheduling. \
                    It maps high-level NumPy, Pandas, and list operations on \
                    large datasets on to many operations on small in-memory \
                    datasets. It then executes these graphs in parallel on a \
                    single machine. Dask lets us use traditional NumPy, \
                    Pandas, and list programming while operating on \
                    inconveniently large data in a small amount of space.

homepage            https://github.com/dask/dask/
master_sites        pypi:[string index ${python.rootname} 0]/${python.rootname}

distname            ${python.rootname}-${version}

checksums           rmd160  94cce1974d6ad2830a6fd3d745cbe5d4100ff5ba \
                    sha256  5e7876bae2a01b355d1969b73aeafa23310febd8c353163910b73e93dc7e492c \
                    size    2404729

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

    livecheck.type      none
}