# -*- 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        pymc-devs pymc 5.16.1 v
github.tarball_from archive
revision            0
name                py-pymc

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  f8b3e72aeeccb0ac95a5671aaf0c926d55cf16ec \
                    sha256  00eff0ccc7c06029aab2c580524f101e922315d3937a82d116b842065a120847 \
                    size    6927947

python.versions     39 310 311 312

if {${name} ne ${subport}} {
    conflicts   py${python.version}-pymc3

    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
}

github.livecheck.regex  {([0-9.]+)}
