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math/py-emcee: New port: Python ensemble sampling toolkit for MCMC
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SUBDIR += py-docplex
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SUBDIR += py-ducc0
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SUBDIR += py-ecos
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SUBDIR += py-emcee
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SUBDIR += py-evalidate
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SUBDIR += py-faiss
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SUBDIR += py-fastcluster
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math/py-emcee/Makefile
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math/py-emcee/Makefile
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PORTNAME= emcee
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DISTVERSION= 3.1.6
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CATEGORIES= math
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MASTER_SITES= PYPI
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= yuri@FreeBSD.org
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COMMENT= Python ensemble sampling toolkit for MCMC
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WWW= https://emcee.readthedocs.io/en/stable/ \
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https://github.com/dfm/emcee
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LICENSE= LGPL21 MIT
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LICENSE_COMB= multi
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PY_SETUPTOOLS} \
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${PYTHON_PKGNAMEPREFIX}setuptools-scm>0:devel/py-setuptools-scm@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
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RUN_DEPENDS= ${PYNUMPY}
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TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}coverage>0:devel/py-coverage@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pytest-cov>0:devel/py-pytest-cov@${PY_FLAVOR}
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USES= python
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USE_PYTHON= pep517 autoplist pytest
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NO_ARCH= yes
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# tests as of 3.1.6: 126 passed, 1 warning in 303.87s (0:05:03)
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.include <bsd.port.mk>
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math/py-emcee/distinfo
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math/py-emcee/distinfo
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TIMESTAMP = 1731865537
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SHA256 (emcee-3.1.6.tar.gz) = 11af4daf6ab8f9ca69681e3c29054665db7bbd87fd4eb8e437d2c3a1248c637d
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SIZE (emcee-3.1.6.tar.gz) = 2871117
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math/py-emcee/pkg-descr
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math/py-emcee/pkg-descr
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emcee is an MIT licensed pure-Python implementation of Goodman & Weare's Affine
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Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler and these pages will
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show you how to use it.
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