dev-python/statsmodels: version bump

Package-Manager: Portage-2.3.3, Repoman-2.3.1

dev-python/statsmodels/Manifest

@@ -1,2 +1,2 @@
-DIST statsmodels-0.5.0.tar.gz 5519668 SHA256 65398518bdd414c712362738e61d34ee5ec07b4c084bba17c65af5f20ae109d0 SHA512 24526200f212c1ad4492b84aad65967254d89aecee4c9f5d76ed499aa9b8c7fe619ca7301810ff5e7aec407f2f01b139c9f9c152a4597fe21736d04b24f6dd0a WHIRLPOOL c2719d25873ea949da30c63895c4536c559c0f45923eb885a3f7f664f3b82783d9945b346032513c4e0f1df9b82f9657956885e05d94505207a4c9ddb10a489e
 DIST statsmodels-0.6.1.tar.gz 6980841 SHA256 be4e44374aec9e848b73e5a230dee190ac0c4519e1d40f69a5813190b13ec676 SHA512 9047b8cf4b9d19bd697867cecef1c4608fd86f3d16e67e44d8c152e1e25918f5aff6b4843c58395e71614be401551e3e48d4dcf158480cbdb45d9735b1c5ea77 WHIRLPOOL b14c7f5b734b26190f23edbf4020ace135571d4c0fa45e3e174647879d4c6547273abbab6c8911c346bf85b433a1908bd230fa52a1e09ede0e74c5e5167a8ecf
+DIST statsmodels-0.8.0.tar.gz 9464851 SHA256 26431ab706fbae896db7870a0892743bfbb9f5c83231644692166a31d2d86048 SHA512 32bb7f36acc16796c445e5f695d958af4525fbbb2d374376fb4a73c972e3796fad05532456cef4aa5ee59d6fce11921174e17bbfc2e05d2488ce1ceac5175239 WHIRLPOOL 92dd92c9c5af6c73d90d2122e17306431be0263ae719db393400e5553ab4cbf3003603d0979b1528fd90bc1f5063d13d6778832f45f74e43ec70c829a684fedd

dev-python/statsmodels/metadata.xml

@@ -10,16 +10,16 @@
     <name>Gentoo Mathematics Project</name>
   </maintainer>
   <longdescription lang="en">
-  statsmodels is a Python module that allows users to explore data,
-  estimate statistical models, and perform statistical tests. An
-  extensive list of descriptive statistics, statistical tests,
-  plotting functions, and result statistics are available for
-  different types of data and each estimator. Researchers across
-  fields may find that statsmodels fully meets their needs for
-  statistical computing and data analysis in Python.
+    statsmodels is a Python module that allows users to explore data,
+    estimate statistical models, and perform statistical tests. An
+    extensive list of descriptive statistics, statistical tests,
+    plotting functions, and result statistics are available for
+    different types of data and each estimator. Researchers across
+    fields may find that statsmodels fully meets their needs for
+    statistical computing and data analysis in Python.
   </longdescription>
   <upstream>
     <remote-id type="pypi">statsmodels</remote-id>
-    <remote-id type="sourceforge">statsmodels</remote-id>
+    <remote-id type="github">statsmodels</remote-id>
   </upstream>
 </pkgmetadata>

dev-python/statsmodels/statsmodels-0.8.0.ebuild

@@ -0,0 +1,76 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Id$
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5} )
+
+inherit distutils-r1 virtualx
+
+DESCRIPTION="Statistical computations and models for use with SciPy"
+HOMEPAGE="http://www.statsmodels.org/"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc examples test"
+
+CDEPEND="
+	dev-python/numpy[${PYTHON_USEDEP}]
+	dev-python/pandas[${PYTHON_USEDEP}]
+	dev-python/patsy[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+"
+RDEPEND="${CDEPEND}
+	examples? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
+"
+DEPEND="${CDEPEND}
+	dev-python/cython[${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	doc? (
+		dev-python/ipykernel[${PYTHON_USEDEP}]
+		dev-python/jupyter_client[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		dev-python/nbconvert[${PYTHON_USEDEP}]
+		dev-python/nbformat[${PYTHON_USEDEP}]
+		dev-python/numpydoc[${PYTHON_USEDEP}]
+		dev-python/sphinx[${PYTHON_USEDEP}]
+	)
+	test? ( dev-python/nose[${PYTHON_USEDEP}] )
+"
+
+python_prepare_all() {
+	# Prevent un-needed d'loading
+	sed -e "/sphinx.ext.intersphinx/d" -i docs/source/conf.py || die
+	export VARTEXFONTS="${T}"/fonts
+	export MPLCONFIGDIR="${T}"
+	export HOME="${T}"
+	echo "backend : Agg" > "${MPLCONFIGDIR}"/matplotlibrc || die
+	distutils-r1_python_prepare_all
+}
+
+python_compile_all() {
+	use doc && esetup.py build_sphinx -b html --build-dir=docs/build
+}
+
+python_test() {
+	cd "${BUILD_DIR}" || die
+	virtx nosetests -v || die
+}
+
+python_install_all() {
+	find "${S}" -name \*LICENSE.txt -delete
+	use doc && HTML_DOCS=( docs/build/html/* )
+	if use examples; then
+		docompress -x /usr/share/doc/${PF}/examples
+		insinto /usr/share/doc/${PF}
+		doins -r examples
+	fi
+	distutils-r1_python_install_all
+}
+
+pkg_postinst() {
+	optfeature "Plotting functionality" "dev-python/matplotlib"
+}