/
Portfile
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/
Portfile
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# -*- 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 2024.4.1
revision 0
categories-append devel
license BSD
supported_archs noarch
platforms {darwin any}
python.versions 39 310 311 312
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/
checksums rmd160 c23858962cff7cfe46e9b76f5ea842bf7a23b6cc \
sha256 6cd8eb03ddc8dc08d6ca5b167b8de559872bc51cc2b6587d0e9dc754ab19cdf0 \
size 9337972
if {${name} ne ${subport}} {
depends_build-append \
port:py${python.version}-versioneer
depends_lib-append port:py${python.version}-click \
port:py${python.version}-cloudpickle \
port:py${python.version}-fsspec \
port:py${python.version}-packaging \
port:py${python.version}-partd \
port:py${python.version}-toolz \
port:py${python.version}-yaml
if {${python.version} < 312} {
depends_lib-append port:py${python.version}-importlib-metadata
}
}