sci-mathematics/pymc3: Remove last-rited pkg

Closes: https://bugs.gentoo.org/718504
Signed-off-by: Michał Górny <mgorny@gentoo.org>
This commit is contained in:
Michał Górny
2020-09-21 16:01:40 +02:00
parent 49a112b93c
commit 5d0bc62475
4 changed files with 0 additions and 79 deletions

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@@ -633,7 +633,6 @@ sci-chemistry/ParmEd
sci-chemistry/freeon
sci-chemistry/openbabel-python
sci-libs/minfx
sci-mathematics/pymc3
# Alfredo Tupone <tupone@gentoo.org> (2020-08-16)
# Ported to py3.8 but not yet released

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@@ -1 +0,0 @@
DIST pymc3-3.1.tar.gz 34553828 BLAKE2B 73c4d50f7d656322fa1a7384aefa1f46caacccc8055138fefc27a82d765866efb9d4853a842a2df312058c558edd66b37a40295904c86f023f8fec5503877206 SHA512 30799d9c1b670adbcf5cc1463029d71a87c7b917e83b1f6cb453d75553616da7173421e7ae6e31b332c85f8170daea735344ff83ba6605cf3b15cf79c5c4fb97

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@@ -1,19 +0,0 @@
<?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>
<remote-id type="pypi">pymc3</remote-id>
</upstream>
</pkgmetadata>

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@@ -1,58 +0,0 @@
# Copyright 1999-2020 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=6
PYTHON_COMPAT=( python3_6 )
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"
RESTRICT="!test? ( test )"
RDEPEND="
>=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[${PYTHON_USEDEP}]
dev-python/sphinx[${PYTHON_USEDEP}]
>=dev-python/theano-0.9[${PYTHON_USEDEP}]
>=dev-python/tqdm-4.8.4[${PYTHON_USEDEP}]
>=dev-python/scipy-0.12[${PYTHON_USEDEP}]
"
DEPEND="
dev-python/setuptools[${PYTHON_USEDEP}]
dev-python/cython[${PYTHON_USEDEP}]
test? (
${RDEPEND}
dev-python/nose[${PYTHON_USEDEP}]
dev-python/nose-parameterized[${PYTHON_USEDEP}]
)
"
DOCS=(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
}