Files
2021-03-18 21:43:49 -04:00

52 lines
1.7 KiB
Tcl

# -*- 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 github 1.0
github.setup dfm emcee 2.2.1 v
name py-emcee
maintainers {aronnax @lpsinger} openmaintainer
categories-append science math
description affine-invariant ensemble MCMC sampling
long_description emcee is a stable, well tested Python implementation of \
the affine-invariant ensemble sampler for Markov chain \
Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The \
code is open source and has already been used in several \
published projects in the astrophysics literature.
homepage https://github.com/dfm/emcee
platforms darwin
supported_archs noarch
license MIT
checksums rmd160 9d877a80ce5a19b8c442d225a27a57fe548a14f0 \
sha256 afb252b304051ca7a936e81adfa69c92b37fdafd8d3be95e920059f08dcf2d00 \
size 769439
python.versions 27 35 36 37 38 39
if {${name} ne ${subport}} {
if {${python.version} >= 36} {
conflicts py${python.version}-emcee3
}
depends_build-append \
port:py${python.version}-setuptools
depends_lib-append \
port:py${python.version}-numpy
depends_test-append \
port:py${python.version}-nose
test.run yes
test.cmd nosetests-${python.branch}
test.target
livecheck.type none
} else {
github.livecheck.regex {(2\.[0-9.]+)}
}