proj/gentoo: Initial commit

This commit represents a new era for Gentoo:
Storing the gentoo-x86 tree in Git, as converted from CVS.

This commit is the start of the NEW history.
Any historical data is intended to be grafted onto this point.

Creation process:
1. Take final CVS checkout snapshot
2. Remove ALL ChangeLog* files
3. Transform all Manifests to thin
4. Remove empty Manifests
5. Convert all stale $Header$/$Id$ CVS keywords to non-expanded Git $Id$
5.1. Do not touch files with -kb/-ko keyword flags.

Signed-off-by: Robin H. Johnson <robbat2@gentoo.org>
X-Thanks: Alec Warner <antarus@gentoo.org> - did the GSoC 2006 migration tests
X-Thanks: Robin H. Johnson <robbat2@gentoo.org> - infra guy, herding this project
X-Thanks: Nguyen Thai Ngoc Duy <pclouds@gentoo.org> - Former Gentoo developer, wrote Git features for the migration
X-Thanks: Brian Harring <ferringb@gentoo.org> - wrote much python to improve cvs2svn
X-Thanks: Rich Freeman <rich0@gentoo.org> - validation scripts
X-Thanks: Patrick Lauer <patrick@gentoo.org> - Gentoo dev, running new 2014 work in migration
X-Thanks: Michał Górny <mgorny@gentoo.org> - scripts, QA, nagging
X-Thanks: All of other Gentoo developers - many ideas and lots of paint on the bikeshed

8 files changed, 570 insertions, 0 deletions

diff --git a/sci-libs/scikits_learn/Manifest b/sci-libs/scikits_learn/Manifest
new file mode 100644
index 00000000000..94c82bc8cfe
--- /dev/null
+++ b/sci-libs/scikits_learn/Manifest
@@ -0,0 +1,5 @@
+DIST scikit-learn-0.13.1.tar.gz 3477412 SHA256 a6e4759a779ba792435d096c882a0d66ee29d369755c09209f1a4e50877bdc94 SHA512 945475bf6e5600da63d26217ae6966f8f5e3a8d9c7645363ba9e9d8d4c475e2ebcfa45e75f8988537716b7a9c16980c52df4310b924eec4da9433d1fc98cc34b WHIRLPOOL 0af58429d604eb1fb22f24e155daaa67831d16d49ff414b29a150f03617be1811796d653afb0f7b4eac9f03cf318910dd9544dc3a58543a333fccd8580a59d4b
+DIST scikit-learn-0.14.1.tar.gz 23228378 SHA256 4c317cabb56c61f4c574879b53aa6bbea0132bb630678229bce98638f4b000e0 SHA512 4d094a698f73c458f2f8c03240fab070854bcb5871acfc4f1aaf1a6f19f28a70bc6aeadb89bf6c586d2b39b81f57175dbb7d64ac4c3693a3be1b407f78e44c52 WHIRLPOOL 39f317721f278037b779001f3cb5e117b6d9da5996df78a53440d68bc860eccbf462a1d48890246624d8e256a6301fb8195199a2ff387bb60179fb11bda9aea6
+DIST scikit-learn-0.15.1.tar.gz 7034220 SHA256 4b13456727b9310857f12cc7b9d1c62d59f3ef602fea9d391afc0c8c847ed17d SHA512 4c2e68b1bb75c85c2a83605a32ba5adbd224bc25b19fca85e18dbe24f20cbe51cbfb02be546a4f05fc190f77e438cb17c6a5d69026455e8c11907599462f9984 WHIRLPOOL e1bc387b013abcab18d8ee0545dda543bb098b9d7636229880dea667fc4627d1822fe8a430a2d26dbafcc0b0e90326d5529245e6eff1345b73fc5a24b7a51096
+DIST scikit-learn-0.15.2.tar.gz 7007922 SHA256 1a8a881f6f13edc0ac58931ce21f899eb7920af50aa08802413d1239e2aa5fa6 SHA512 ca2470df73be1b735f756f641fdbb4dc59a54b67d12f61c54542f0928ce9242665d1b8793673a9d989a41f2c2945c2ba92ed54fc9914fbe030a5c8af289c6523 WHIRLPOOL 9043bf653f8d866f98e5a2342fbacf51fafefd5096e70989ebeb4b580c38b5468c3a2eb598d4d5492ba1413378b8c133938baa20d4a292c9f94c5596dbf1d405
+DIST scikit-learn-0.16.1.tar.gz 7267115 SHA256 c0721e295056c95c7002e05726f2bd271a7923e88bdeab34a2b60aac2b0ee6e4 SHA512 18ea7420a4a7f23f030ad1e20cf29dd7d6183872ed4aa3daf4bfb5106728de21775461b90a917f231e56fee78eea5927ff8c3160c1da1473f34315b00994461b WHIRLPOOL 15eba05ba0d9ac62ed30636ece9091cb9930e432e5726b67be3de0ae5b81a187eac8cac69184106b4a5a1c4393801fb6a375b6f025c3562223ad5ed0e508ad8c
diff --git a/sci-libs/scikits_learn/files/scikits_learn-0.14.1-system-cblas.patch b/sci-libs/scikits_learn/files/scikits_learn-0.14.1-system-cblas.patch
new file mode 100644
index 00000000000..96c6cc2dbde
--- /dev/null
+++ b/sci-libs/scikits_learn/files/scikits_learn-0.14.1-system-cblas.patch
@@ -0,0 +1,28 @@
+--- sklearn/setup.py.orig	2013-08-08 13:54:08.310879167 -0700
++++ sklearn/setup.py	2013-08-08 13:52:59.808456423 -0700
+@@ -68,14 +68,6 @@
+         libraries=libraries,
+     )
+ 
+-    # some libs needs cblas, fortran-compiled BLAS will not be sufficient
+-    blas_info = get_info('blas_opt', 0)
+-    if (not blas_info) or (
+-            ('NO_ATLAS_INFO', 1) in blas_info.get('define_macros', [])):
+-        config.add_library('cblas',
+-                           sources=[join('src', 'cblas', '*.c')])
+-        warnings.warn(BlasNotFoundError.__doc__)
+-
+     # the following packages depend on cblas, so they have to be build
+     # after the above.
+     config.add_subpackage('linear_model')
+--- sklearn/_build_utils.py.orig	2013-08-08 14:01:35.994589269 -0700
++++ sklearn/_build_utils.py	2013-08-08 12:19:41.875967870 -0700
+@@ -23,7 +23,7 @@
+         return False
+ 
+     blas_info = get_info('blas_opt', 0)
+-    if (not blas_info) or atlas_not_found(blas_info):
++    if (not blas_info):
+         cblas_libs = ['cblas']
+         blas_info.pop('libraries', None)
+     else:
diff --git a/sci-libs/scikits_learn/metadata.xml b/sci-libs/scikits_learn/metadata.xml
new file mode 100644
index 00000000000..7b42750bd92
--- /dev/null
+++ b/sci-libs/scikits_learn/metadata.xml
@@ -0,0 +1,13 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+  <herd>sci</herd>
+  <longdescription lang="en">
+  scikits.learn is a python library for machine learning. It aims to
+  implement classic machine learning algorithms while remaining simple
+  and efficient.
+</longdescription>
+  <upstream>
+    <remote-id type="pypi">scikit-learn</remote-id>
+  </upstream>
+</pkgmetadata>
diff --git a/sci-libs/scikits_learn/scikits_learn-0.13.1.ebuild b/sci-libs/scikits_learn/scikits_learn-0.13.1.ebuild
new file mode 100644
index 00000000000..37782aa7557
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.13.1.ebuild
@@ -0,0 +1,89 @@
+# Copyright 1999-2015 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Id$
+
+EAPI=5
+
+PYTHON_COMPAT=( python2_7 )
+DISTUTILS_NO_PARALLEL_BUILD=true
+
+inherit distutils-r1 multilib flag-o-matic
+
+MYPN="${PN/scikits_/scikit-}"
+
+DESCRIPTION="Python modules for machine learning and data mining"
+HOMEPAGE="http://scikit-learn.org"
+SRC_URI="mirror://sourceforge/${MYPN}/${MYPN}-${PV}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc examples"
+
+RDEPEND="
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	dev-python/matplotlib[${PYTHON_USEDEP}]"
+DEPEND="
+	dev-python/cython[${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	doc? (
+		dev-python/sphinx[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}] )"
+
+S="${WORKDIR}/${MYPN}-${PV}"
+
+python_prepare_all() {
+	# bug #397605
+	[[ ${CHOST} == *-darwin* ]] \
+		&& append-ldflags -bundle "-undefined dynamic_lookup" \
+		|| append-ldflags -shared
+
+	# scikits-learn now uses the horrible numpy.distutils automagic
+	export SCIPY_FCONFIG="config_fc --noopt --noarch"
+	distutils-r1_python_prepare_all
+}
+
+python_compile() {
+	distutils-r1_python_compile ${SCIPY_FCONFIG}
+}
+
+python_compile_all() {
+	if use doc; then
+		cd "${S}/doc"
+		local d="${BUILD_DIR}"/lib
+		ln -s "${S}"/sklearn/datasets/{data,descr,images} \
+			"${d}"/sklearn/datasets
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,desr,images}
+	fi
+}
+
+python_test() {
+	# doc builds and runs tests
+	use doc && return
+	esetup.py \
+		install --root="${T}/test-${EPYTHON}" \
+		--no-compile ${SCIPY_FCONFIG}
+	pushd "${T}/test-${EPYTHON}/$(python_get_sitedir)" || die > /dev/null
+	nosetests -v sklearn --exe || die
+	popd > /dev/null
+}
+
+python_install() {
+	distutils-r1_python_install ${SCIPY_FCONFIG}
+}
+
+python_install_all() {
+	find "${S}" -name \*LICENSE.txt -delete
+	use doc && HTML_DOCS=( doc/_build/html/. )
+	distutils-r1_python_install_all
+	if use examples; then
+		insinto /usr/share/doc/${PF}
+		doins -r examples
+	fi
+}
diff --git a/sci-libs/scikits_learn/scikits_learn-0.14.1.ebuild b/sci-libs/scikits_learn/scikits_learn-0.14.1.ebuild
new file mode 100644
index 00000000000..d9eb124c968
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.14.1.ebuild
@@ -0,0 +1,109 @@
+# Copyright 1999-2015 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Id$
+
+EAPI=5
+
+PYTHON_COMPAT=( python{2_7,3_3} )
+DISTUTILS_NO_PARALLEL_BUILD=true
+
+inherit distutils-r1 eutils multilib flag-o-matic
+
+MYPN="${PN/scikits_/scikit-}"
+MYP="${MYPN}-${PV}"
+
+DESCRIPTION="Python modules for machine learning and data mining"
+HOMEPAGE="http://scikit-learn.org"
+SRC_URI="mirror://pypi/${MYPN:0:1}/${MYPN}/${MYP}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc examples test"
+
+RDEPEND="
+	dev-python/joblib[${PYTHON_USEDEP}]
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	dev-python/matplotlib[${PYTHON_USEDEP}]"
+DEPEND="
+	dev-python/cython[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	doc? (
+		dev-python/sphinx[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}] )
+	test? (
+		dev-python/joblib[${PYTHON_USEDEP}]
+		dev-python/nose[${PYTHON_USEDEP}] )"
+
+S="${WORKDIR}/${MYP}"
+
+python_prepare_all() {
+	# bug #397605
+	[[ ${CHOST} == *-darwin* ]] \
+		&& append-ldflags -bundle "-undefined dynamic_lookup" \
+		|| append-ldflags -shared
+
+	# scikits-learn now uses the horrible numpy.distutils automagic
+	export SCIPY_FCONFIG="config_fc --noopt --noarch"
+
+	# use system joblib
+	rm -r sklearn/externals/joblib/* || die
+	echo "from joblib import *" > sklearn/externals/joblib/__init__.py
+	sed -i -e '/joblib\/test/d' sklearn/externals/setup.py || die
+	sed -i -e 's/..externals.joblib/joblib/g' \
+		sklearn/decomposition/tests/test_sparse_pca.py \
+		sklearn/metrics/pairwise.py || die
+
+	# use gentoo cblas infrastructure
+	epatch "${FILESDIR}"/${P}-system-cblas.patch
+
+	distutils-r1_python_prepare_all
+}
+
+python_compile() {
+	distutils-r1_python_compile ${SCIPY_FCONFIG}
+}
+
+python_compile_all() {
+	if use doc; then
+		cd "${S}/doc"
+		local d="${BUILD_DIR}"/lib
+		ln -s "${S}"/sklearn/datasets/{data,descr,images} \
+			"${d}"/sklearn/datasets
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,desr,images}
+	fi
+}
+
+python_test() {
+	# doc builds and runs tests
+	use doc && return
+	distutils_install_for_testing ${SCIPY_FCONFIG}
+	esetup.py \
+		install --root="${T}/test-${EPYTHON}" \
+		--no-compile ${SCIPY_FCONFIG}
+	pushd "${T}/test-${EPYTHON}/$(python_get_sitedir)" || die > /dev/null
+	nosetests -v sklearn --exe || die
+	popd > /dev/null
+}
+
+python_install() {
+	distutils-r1_python_install ${SCIPY_FCONFIG}
+}
+
+python_install_all() {
+	find "${S}" -name \*LICENSE.txt -delete
+	use doc && HTML_DOCS=( doc/_build/html/. )
+	distutils-r1_python_install_all
+	if use examples; then
+		insinto /usr/share/doc/${PF}
+		doins -r examples
+	fi
+}
diff --git a/sci-libs/scikits_learn/scikits_learn-0.15.1.ebuild b/sci-libs/scikits_learn/scikits_learn-0.15.1.ebuild
new file mode 100644
index 00000000000..e6c0f8bdd04
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.15.1.ebuild
@@ -0,0 +1,109 @@
+# Copyright 1999-2014 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Id$
+
+EAPI=5
+
+PYTHON_COMPAT=( python{2_7,3_3,3_4} )
+DISTUTILS_NO_PARALLEL_BUILD=true
+
+inherit distutils-r1 eutils multilib flag-o-matic
+
+MYPN="${PN/scikits_/scikit-}"
+MYP="${MYPN}-${PV}"
+
+DESCRIPTION="Python modules for machine learning and data mining"
+HOMEPAGE="http://scikit-learn.org"
+SRC_URI="mirror://pypi/${MYPN:0:1}/${MYPN}/${MYP}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc examples test"
+
+RDEPEND="
+	dev-python/joblib[${PYTHON_USEDEP}]
+	dev-python/matplotlib[${PYTHON_USEDEP}]
+	dev-python/nose[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]"
+DEPEND="
+	dev-python/cython[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	doc? (
+		dev-python/joblib[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		dev-python/sphinx[${PYTHON_USEDEP}]
+		)"
+
+S="${WORKDIR}/${MYP}"
+
+python_prepare_all() {
+	# bug #397605
+	[[ ${CHOST} == *-darwin* ]] \
+		&& append-ldflags -bundle "-undefined dynamic_lookup" \
+		|| append-ldflags -shared
+
+	# scikits-learn now uses the horrible numpy.distutils automagic
+	export SCIPY_FCONFIG="config_fc --noopt --noarch"
+
+	# use system joblib
+	rm -r sklearn/externals/joblib/* || die
+	echo "from joblib import *" > sklearn/externals/joblib/__init__.py
+	sed -i -e '/joblib\/test/d' sklearn/externals/setup.py || die
+	sed -i -e 's/..externals.joblib/joblib/g' \
+		sklearn/decomposition/tests/test_sparse_pca.py \
+		sklearn/metrics/pairwise.py || die
+
+	# use gentoo cblas infrastructure
+	epatch "${FILESDIR}"/${PN}-0.14.1-system-cblas.patch
+
+	distutils-r1_python_prepare_all
+}
+
+python_compile() {
+	distutils-r1_python_compile ${SCIPY_FCONFIG}
+}
+
+python_compile_all() {
+	if use doc; then
+		cd "${S}/doc"
+		local d="${BUILD_DIR}"/lib
+		ln -s "${S}"/sklearn/datasets/{data,descr,images} \
+			"${d}"/sklearn/datasets
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,desr,images}
+	fi
+}
+
+python_test() {
+	# doc builds and runs tests
+	use doc && return
+	distutils_install_for_testing ${SCIPY_FCONFIG}
+	esetup.py \
+		install --root="${T}/test-${EPYTHON}" \
+		--no-compile ${SCIPY_FCONFIG}
+	pushd "${T}/test-${EPYTHON}/$(python_get_sitedir)" || die > /dev/null
+	nosetests -v sklearn --exe || die
+	popd > /dev/null
+}
+
+python_install() {
+	distutils-r1_python_install ${SCIPY_FCONFIG}
+}
+
+python_install_all() {
+	find "${S}" -name \*LICENSE.txt -delete
+	use doc && HTML_DOCS=( doc/_build/html/. )
+	distutils-r1_python_install_all
+	if use examples; then
+		insinto /usr/share/doc/${PF}
+		doins -r examples
+	fi
+}
diff --git a/sci-libs/scikits_learn/scikits_learn-0.15.2.ebuild b/sci-libs/scikits_learn/scikits_learn-0.15.2.ebuild
new file mode 100644
index 00000000000..e6c0f8bdd04
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.15.2.ebuild
@@ -0,0 +1,109 @@
+# Copyright 1999-2014 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Id$
+
+EAPI=5
+
+PYTHON_COMPAT=( python{2_7,3_3,3_4} )
+DISTUTILS_NO_PARALLEL_BUILD=true
+
+inherit distutils-r1 eutils multilib flag-o-matic
+
+MYPN="${PN/scikits_/scikit-}"
+MYP="${MYPN}-${PV}"
+
+DESCRIPTION="Python modules for machine learning and data mining"
+HOMEPAGE="http://scikit-learn.org"
+SRC_URI="mirror://pypi/${MYPN:0:1}/${MYPN}/${MYP}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc examples test"
+
+RDEPEND="
+	dev-python/joblib[${PYTHON_USEDEP}]
+	dev-python/matplotlib[${PYTHON_USEDEP}]
+	dev-python/nose[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]"
+DEPEND="
+	dev-python/cython[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	doc? (
+		dev-python/joblib[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		dev-python/sphinx[${PYTHON_USEDEP}]
+		)"
+
+S="${WORKDIR}/${MYP}"
+
+python_prepare_all() {
+	# bug #397605
+	[[ ${CHOST} == *-darwin* ]] \
+		&& append-ldflags -bundle "-undefined dynamic_lookup" \
+		|| append-ldflags -shared
+
+	# scikits-learn now uses the horrible numpy.distutils automagic
+	export SCIPY_FCONFIG="config_fc --noopt --noarch"
+
+	# use system joblib
+	rm -r sklearn/externals/joblib/* || die
+	echo "from joblib import *" > sklearn/externals/joblib/__init__.py
+	sed -i -e '/joblib\/test/d' sklearn/externals/setup.py || die
+	sed -i -e 's/..externals.joblib/joblib/g' \
+		sklearn/decomposition/tests/test_sparse_pca.py \
+		sklearn/metrics/pairwise.py || die
+
+	# use gentoo cblas infrastructure
+	epatch "${FILESDIR}"/${PN}-0.14.1-system-cblas.patch
+
+	distutils-r1_python_prepare_all
+}
+
+python_compile() {
+	distutils-r1_python_compile ${SCIPY_FCONFIG}
+}
+
+python_compile_all() {
+	if use doc; then
+		cd "${S}/doc"
+		local d="${BUILD_DIR}"/lib
+		ln -s "${S}"/sklearn/datasets/{data,descr,images} \
+			"${d}"/sklearn/datasets
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,desr,images}
+	fi
+}
+
+python_test() {
+	# doc builds and runs tests
+	use doc && return
+	distutils_install_for_testing ${SCIPY_FCONFIG}
+	esetup.py \
+		install --root="${T}/test-${EPYTHON}" \
+		--no-compile ${SCIPY_FCONFIG}
+	pushd "${T}/test-${EPYTHON}/$(python_get_sitedir)" || die > /dev/null
+	nosetests -v sklearn --exe || die
+	popd > /dev/null
+}
+
+python_install() {
+	distutils-r1_python_install ${SCIPY_FCONFIG}
+}
+
+python_install_all() {
+	find "${S}" -name \*LICENSE.txt -delete
+	use doc && HTML_DOCS=( doc/_build/html/. )
+	distutils-r1_python_install_all
+	if use examples; then
+		insinto /usr/share/doc/${PF}
+		doins -r examples
+	fi
+}
diff --git a/sci-libs/scikits_learn/scikits_learn-0.16.1.ebuild b/sci-libs/scikits_learn/scikits_learn-0.16.1.ebuild
new file mode 100644
index 00000000000..f4fd867256c
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.16.1.ebuild
@@ -0,0 +1,108 @@
+# Copyright 1999-2015 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Id$
+
+EAPI=5
+
+PYTHON_COMPAT=( python2_7 python3_{3,4} )
+
+inherit distutils-r1 eutils multilib flag-o-matic
+
+MYPN="${PN/scikits_/scikit-}"
+MYP="${MYPN}-${PV}"
+
+DESCRIPTION="Python modules for machine learning and data mining"
+HOMEPAGE="http://scikit-learn.org"
+SRC_URI="mirror://pypi/${MYPN:0:1}/${MYPN}/${MYP}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc examples test"
+
+RDEPEND="
+	dev-python/joblib[${PYTHON_USEDEP}]
+	dev-python/matplotlib[${PYTHON_USEDEP}]
+	dev-python/nose[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]"
+DEPEND="
+	dev-python/cython[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	doc? (
+		dev-python/joblib[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		dev-python/sphinx[${PYTHON_USEDEP}]
+		)"
+
+S="${WORKDIR}/${MYP}"
+
+python_prepare_all() {
+	# bug #397605
+	[[ ${CHOST} == *-darwin* ]] \
+		&& append-ldflags -bundle "-undefined dynamic_lookup" \
+		|| append-ldflags -shared
+
+	# scikits-learn now uses the horrible numpy.distutils automagic
+	export SCIPY_FCONFIG="config_fc --noopt --noarch"
+
+	# use system joblib
+	rm -r sklearn/externals/joblib/* || die
+	echo "from joblib import *" > sklearn/externals/joblib/__init__.py
+	sed -i -e '/joblib\/test/d' sklearn/externals/setup.py || die
+	sed -i -e 's/..externals.joblib/joblib/g' \
+		sklearn/decomposition/tests/test_sparse_pca.py \
+		sklearn/metrics/pairwise.py || die
+
+	# use gentoo cblas infrastructure
+	epatch "${FILESDIR}"/${PN}-0.14.1-system-cblas.patch
+
+	distutils-r1_python_prepare_all
+}
+
+python_compile() {
+	distutils-r1_python_compile ${SCIPY_FCONFIG}
+}
+
+python_compile_all() {
+	if use doc; then
+		cd "${S}/doc"
+		local d="${BUILD_DIR}"/lib
+		ln -s "${S}"/sklearn/datasets/{data,descr,images} \
+			"${d}"/sklearn/datasets
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,desr,images}
+	fi
+}
+
+python_test() {
+	# doc builds and runs tests
+	use doc && return
+	distutils_install_for_testing ${SCIPY_FCONFIG}
+	esetup.py \
+		install --root="${T}/test-${EPYTHON}" \
+		--no-compile ${SCIPY_FCONFIG}
+	pushd "${T}/test-${EPYTHON}/$(python_get_sitedir)" || die > /dev/null
+	nosetests -v sklearn --exe || die
+	popd > /dev/null
+}
+
+python_install() {
+	distutils-r1_python_install ${SCIPY_FCONFIG}
+}
+
+python_install_all() {
+	find "${S}" -name \*LICENSE.txt -delete
+	use doc && HTML_DOCS=( doc/_build/html/. )
+	distutils-r1_python_install_all
+	if use examples; then
+		insinto /usr/share/doc/${PF}
+		doins -r examples
+	fi
+}