sci-libs/scikits_learn: Works with py3.7

Package-Manager: Portage-2.3.69, Repoman-2.3.16
Signed-off-by: Alexey Shvetsov <alexxy@gentoo.org>

1 files changed, 106 insertions, 0 deletions

diff --git a/sci-libs/scikits_learn/scikits_learn-0.19.0-r1.ebuild b/sci-libs/scikits_learn/scikits_learn-0.19.0-r1.ebuild
new file mode 100644
index 000000000000..3184d4e85551
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.19.0-r1.ebuild
@@ -0,0 +1,106 @@
+# Copyright 1999-2019 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+PYTHON_COMPAT=( python2_7 python3_{5,6,7} )
+
+inherit distutils-r1 flag-o-matic
+
+MYPN="${PN/scikits_/scikit-}"
+MYP="${MYPN}-${PV}"
+
+DESCRIPTION="Python modules for machine learning and data mining"
+HOMEPAGE="https://scikit-learn.org"
+SRC_URI="mirror://pypi/${MYPN:0:1}/${MYPN}/${MYP}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="examples test"
+
+# tried to unbundle virtual/python-funcsigs, funcsigs, odict
+# but it is a large mess to maintain
+
+RDEPEND="
+	dev-python/matplotlib[${PYTHON_USEDEP}]
+	dev-python/nose[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	virtual/blas:=
+	virtual/cblas:=
+"
+
+DEPEND="
+	dev-python/cython[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	virtual/blas:=
+	virtual/cblas:=
+"
+
+S="${WORKDIR}/${MYP}"
+
+PATCHES=( "${FILESDIR}"/${PN}-0.18.1-system-cblas.patch )
+
+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"
+
+	# remove bundled cblas
+	rm -r sklearn/src || die
+
+	# commented out, since it is a mess to maintain
+	# use system joblib
+	#rm -r sklearn/externals/joblib || die
+	#sed -i -e '/joblib/d' sklearn/externals/setup.py || die
+	#for f in sklearn/{*/,}*.py; do
+	#	sed -r -e '/^from/s/(sklearn|\.|)\.externals\.joblib/joblib/' \
+	#		-e 's/from (sklearn|\.|)\.externals import/import/' -i $f || die
+	#done
+
+	# use system funcsigs and odict
+	#rm sklearn/externals/funcsigs.py || die
+	#rm sklearn/externals/odict.py || die
+	#for f in sklearn/{utils/fixes.py,gaussian_process/{tests/test_,}kernels.py}; do
+	#	sed -r -e 's/from (sklearn|\.|)\.externals\.funcsigs/from funcsigs/' -i $f || die
+	#done
+	distutils-r1_python_prepare_all
+}
+
+python_compile() {
+	distutils-r1_python_compile ${SCIPY_FCONFIG}
+}
+
+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
+	JOBLIB_MULTIPROCESSING=2 SKLEARN_SKIP_NETWORK_TESTS=1 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
+	distutils-r1_python_install_all
+	if use examples; then
+		dodoc -r examples
+		docompress -x /usr/share/doc/${PF}/examples
+	fi
+
+}