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dev-python/statsmodels: version bump
Package-Manager: Portage-2.3.3, Repoman-2.3.1
This commit is contained in:
Sébastien Fabbro
@@ -1,2 +1,2 @@
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DIST statsmodels-0.5.0.tar.gz 5519668 SHA256 65398518bdd414c712362738e61d34ee5ec07b4c084bba17c65af5f20ae109d0 SHA512 24526200f212c1ad4492b84aad65967254d89aecee4c9f5d76ed499aa9b8c7fe619ca7301810ff5e7aec407f2f01b139c9f9c152a4597fe21736d04b24f6dd0a WHIRLPOOL c2719d25873ea949da30c63895c4536c559c0f45923eb885a3f7f664f3b82783d9945b346032513c4e0f1df9b82f9657956885e05d94505207a4c9ddb10a489e
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DIST statsmodels-0.6.1.tar.gz 6980841 SHA256 be4e44374aec9e848b73e5a230dee190ac0c4519e1d40f69a5813190b13ec676 SHA512 9047b8cf4b9d19bd697867cecef1c4608fd86f3d16e67e44d8c152e1e25918f5aff6b4843c58395e71614be401551e3e48d4dcf158480cbdb45d9735b1c5ea77 WHIRLPOOL b14c7f5b734b26190f23edbf4020ace135571d4c0fa45e3e174647879d4c6547273abbab6c8911c346bf85b433a1908bd230fa52a1e09ede0e74c5e5167a8ecf
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DIST statsmodels-0.8.0.tar.gz 9464851 SHA256 26431ab706fbae896db7870a0892743bfbb9f5c83231644692166a31d2d86048 SHA512 32bb7f36acc16796c445e5f695d958af4525fbbb2d374376fb4a73c972e3796fad05532456cef4aa5ee59d6fce11921174e17bbfc2e05d2488ce1ceac5175239 WHIRLPOOL 92dd92c9c5af6c73d90d2122e17306431be0263ae719db393400e5553ab4cbf3003603d0979b1528fd90bc1f5063d13d6778832f45f74e43ec70c829a684fedd
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@@ -10,16 +10,16 @@
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<name>Gentoo Mathematics Project</name>
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</maintainer>
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<longdescription lang="en">
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statsmodels is a Python module that allows users to explore data,
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estimate statistical models, and perform statistical tests. An
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extensive list of descriptive statistics, statistical tests,
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plotting functions, and result statistics are available for
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different types of data and each estimator. Researchers across
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fields may find that statsmodels fully meets their needs for
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statistical computing and data analysis in Python.
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statsmodels is a Python module that allows users to explore data,
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estimate statistical models, and perform statistical tests. An
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extensive list of descriptive statistics, statistical tests,
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plotting functions, and result statistics are available for
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different types of data and each estimator. Researchers across
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fields may find that statsmodels fully meets their needs for
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statistical computing and data analysis in Python.
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</longdescription>
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<upstream>
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<remote-id type="pypi">statsmodels</remote-id>
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<remote-id type="sourceforge">statsmodels</remote-id>
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<remote-id type="github">statsmodels</remote-id>
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</upstream>
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</pkgmetadata>
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@@ -1,67 +0,0 @@
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# Copyright 1999-2015 Gentoo Foundation
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# Distributed under the terms of the GNU General Public License v2
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# $Id$
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EAPI=5
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PYTHON_COMPAT=( python2_7 )
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inherit distutils-r1 virtualx
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DESCRIPTION="Statistical computations and models for use with SciPy"
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HOMEPAGE="http://statsmodels.sourceforge.net/"
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SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
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LICENSE="BSD"
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SLOT="0"
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KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
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IUSE="doc examples test"
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RDEPEND="
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dev-python/pandas[${PYTHON_USEDEP}]
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dev-python/patsy[${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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examples? ( dev-python/matplotlib[${PYTHON_USEDEP}] )"
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DEPEND="
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dev-python/cython[${PYTHON_USEDEP}]
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dev-python/pandas[${PYTHON_USEDEP}]
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dev-python/patsy[${PYTHON_USEDEP}]
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dev-python/setuptools[${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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doc? (
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dev-python/matplotlib
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dev-python/sphinx
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dev-python/ipython )
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test? ( dev-python/nose[${PYTHON_USEDEP}] )"
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pkg_setup() {
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export MPLCONFIGDIR="${T}" HOME="${T}"
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}
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python_compile_all() {
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if use doc; then
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VARTEXFONTS="${T}"/fonts ${EPYTHON} setup.py build_sphinx || die
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fi
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}
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python_test() {
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cd "${BUILD_DIR}" || die
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VIRTUALX_COMMAND="nosetests"
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virtualmake --verbosity=3
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}
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python_install() {
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distutils-r1_python_install
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rm -r "${D}/$(python_get_sitedir)/statsmodels/examples" || die
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}
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python_install_all() {
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find "${S}" -name \*LICENSE.txt -delete
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use doc && HTML_DOCS=( build/sphinx/html/* )
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if use examples; then
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docompress -x /usr/share/doc/${PF}/examples
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insinto /usr/share/doc/${PF}
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doins -r examples
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fi
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distutils-r1_python_install_all
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}
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76
dev-python/statsmodels/statsmodels-0.8.0.ebuild
Normal file
76
dev-python/statsmodels/statsmodels-0.8.0.ebuild
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@@ -0,0 +1,76 @@
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# Copyright 1999-2017 Gentoo Foundation
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# Distributed under the terms of the GNU General Public License v2
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# $Id$
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EAPI=6
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PYTHON_COMPAT=( python2_7 python3_{4,5} )
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inherit distutils-r1 virtualx
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DESCRIPTION="Statistical computations and models for use with SciPy"
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HOMEPAGE="http://www.statsmodels.org/"
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SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
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LICENSE="BSD"
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SLOT="0"
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KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
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IUSE="doc examples test"
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CDEPEND="
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dev-python/numpy[${PYTHON_USEDEP}]
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dev-python/pandas[${PYTHON_USEDEP}]
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dev-python/patsy[${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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"
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RDEPEND="${CDEPEND}
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examples? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
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"
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DEPEND="${CDEPEND}
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dev-python/cython[${PYTHON_USEDEP}]
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dev-python/setuptools[${PYTHON_USEDEP}]
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doc? (
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dev-python/ipykernel[${PYTHON_USEDEP}]
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dev-python/jupyter_client[${PYTHON_USEDEP}]
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dev-python/matplotlib[${PYTHON_USEDEP}]
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dev-python/nbconvert[${PYTHON_USEDEP}]
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dev-python/nbformat[${PYTHON_USEDEP}]
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dev-python/numpydoc[${PYTHON_USEDEP}]
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dev-python/sphinx[${PYTHON_USEDEP}]
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)
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test? ( dev-python/nose[${PYTHON_USEDEP}] )
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"
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python_prepare_all() {
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# Prevent un-needed d'loading
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sed -e "/sphinx.ext.intersphinx/d" -i docs/source/conf.py || die
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export VARTEXFONTS="${T}"/fonts
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export MPLCONFIGDIR="${T}"
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export HOME="${T}"
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echo "backend : Agg" > "${MPLCONFIGDIR}"/matplotlibrc || die
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distutils-r1_python_prepare_all
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}
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python_compile_all() {
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use doc && esetup.py build_sphinx -b html --build-dir=docs/build
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}
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python_test() {
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cd "${BUILD_DIR}" || die
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virtx nosetests -v || die
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}
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python_install_all() {
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find "${S}" -name \*LICENSE.txt -delete
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use doc && HTML_DOCS=( docs/build/html/* )
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if use examples; then
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docompress -x /usr/share/doc/${PF}/examples
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insinto /usr/share/doc/${PF}
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doins -r examples
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fi
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distutils-r1_python_install_all
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}
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pkg_postinst() {
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optfeature "Plotting functionality" "dev-python/matplotlib"
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}
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