# -*- 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-pymc version 5.20.0 revision 0 # remove upon next update; see https://trac.macports.org/ticket/71975 dist_subdir ${name}/${version} supported_archs noarch platforms {darwin any} license Apache-2 maintainers {reneeotten @reneeotten} openmaintainer description Probabilistic Programming in Python: Bayesian Modeling and \ Probabilistic Machine Learning with Aesara long_description PyMC (formerly PyMC3) is a Python package for Bayesian \ statistical modeling focusing on advanced Markov chain \ Monte Carlo (MCMC) and variational inference (VI) algorithms. \ Its flexibility and extensibility make it applicable to a \ large suite of problems. checksums rmd160 68b9d13e13556e9b819927388f76b7ee00e69134 \ sha256 fe03606326424e71d47c1d67299d8bdfdeb8131e7ba1d9adfb840621e8799379 \ size 487357 python.versions 310 311 312 if {${name} ne ${subport}} { conflicts py${python.version}-pymc3 depends_build-append \ port:py${python.version}-versioneer depends_lib-append \ port:py${python.version}-arviz \ port:py${python.version}-cachetools \ port:py${python.version}-cloudpickle \ port:py${python.version}-fastprogress \ port:py${python.version}-numpy \ port:py${python.version}-pandas \ port:py${python.version}-pytensor \ port:py${python.version}-scipy \ port:py${python.version}-typing_extensions if {${python.version} < 311} { depends_lib-append \ port:py${python.version}-tomli } }