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sci-mathematics/pymc3: initial import

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Package-Manager: Portage-2.3.3, Repoman-2.3.1
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Sébastien Fabbro
2017-01-05 04:52:53 +00:00
parent 979aec964b
commit 5086e10641
3 changed files with 79 additions and 0 deletions
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sci-mathematics/pymc3/Manifest Normal file
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DIST pymc3-3.0rc6.tar.gz 992525 SHA256 8df5a190218d3eea2655915847aad9c87ae9719cc507c5c3e24ec4973408051d SHA512 54534e07f61dbf1b499a2d9e249512d1475074bcf67612b36ab3b72456945eb6af4a450d6739195891f0d398612304861c23fe4a222304e1609240ba348f1792 WHIRLPOOL 251d85ac949569000d5b188a40645548389dbed8fd47f9f21ee6c6569805b3f5350185f6f0247022fd08e46fd4f41f137167b9eba3814e43afb88a09623d95f3

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sci-mathematics/pymc3/metadata.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
<email>sci-mathematics@gentoo.org</email>
<name>Gentoo Mathematics Project</name>
</maintainer>
<longdescription lang="en">
PyMC3 is a Python package for Bayesian statistical modeling and
Probabilistic Machine Learning which focuses on advanced Markov
chain Monte Carlo and variational fitting algorithms. Its
flexibility and extensibility make it applicable to a large suite
of problems.
</longdescription>
<upstream>
<remote-id type="github">pymc-devs/pymc3</remote-id>
</upstream>
</pkgmetadata>

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sci-mathematics/pymc3/pymc3-3.0_rc6.ebuild Normal file
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# Copyright 1999-2017 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
# $Id$
EAPI=6
PYTHON_COMPAT=( python{2_7,3_4,3_5} )
inherit distutils-r1 virtualx xdg-utils
MYP=${P/_}
S="${WORKDIR}/${MYP}"
DESCRIPTION="Bayesian Modeling and Probabilistic Machine Learning in Python"
HOMEPAGE="http://pymc-devs.github.io/pymc3/"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${MYP}.tar.gz"
SLOT=0
KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
LICENSE="AFL-3.0"
IUSE="test"
RDEPEND="
<=dev-python/CommonMark-0.5.4[${PYTHON_USEDEP}]
>=dev-python/joblib-0.9[${PYTHON_USEDEP}]
>=dev-python/numpy-1.11[${PYTHON_USEDEP},lapack]
>=dev-python/matplotlib-1.5[${PYTHON_USEDEP}]
dev-python/nbsphinx[${PYTHON_USEDEP}]
dev-python/numpydoc[${PYTHON_USEDEP}]
>=dev-python/pandas-0.18[${PYTHON_USEDEP}]
>=dev-python/patsy-0.4[${PYTHON_USEDEP}]
>=dev-python/recommonmark-0.4[${PYTHON_USEDEP}]
dev-python/sphinx[${PYTHON_USEDEP}]
>=dev-python/theano-0.8.2[${PYTHON_USEDEP}]
>=dev-python/tqdm-4.8.4[${PYTHON_USEDEP}]
>=sci-libs/scipy-0.12[${PYTHON_USEDEP}]
virtual/python-enum34[${PYTHON_USEDEP}]
"
DEPEND="
dev-python/setuptools[${PYTHON_USEDEP}]
dev-python/cython[${PYTHON_USEDEP}]
test? (
${RDEPEND}
dev-python/nose[${PYTHON_USEDEP}]
)
"
DOCS=(CHANGELOG.md CONTRIBUTING.md RELEASE-NOTES.md
CONDUCT.md GOVERNANCE.md README.rst)
python_prepare_all() {
xdg_environment_reset
distutils-r1_python_prepare_all
}
python_test() {
echo 'backend: agg' > matplotlibrc || die
virtx esetup.py test
}