reinit the tree, so we can have metadata

11 files changed, 823 insertions, 0 deletions

diff --git a/sci-libs/scikits_learn/Manifest b/sci-libs/scikits_learn/Manifest
new file mode 100644
index 000000000000..69c199c1b841
--- /dev/null
+++ b/sci-libs/scikits_learn/Manifest
@@ -0,0 +1,17 @@
+AUX scikits_learn-0.14.1-system-cblas.patch 1072 SHA256 56fdc4b1226d8456d674961cb466a00442935b7dc1ccc1d9178bac8ddd984eab SHA512 bb9d7265c81fe11d5a4467716e982eafb046cd24fe317a01e02d20ff43df39e9557a4325f26cf131b87a26e9fe86342abf3166be058aeeca41fb675f9ead17d3 WHIRLPOOL b0ac8bb1998224030be1d42593d7b70d0a1f0b562920f11e47d38e8cefcb033a5bfcfe6fdf851a9ec4bfdc7254e01af6010242c2d8215255a5e11f6b130697db
+AUX scikits_learn-0.17.1-system-cblas.patch 1344 SHA256 d7622b45b6d40bcbec69feeacbe4947db2542833d4b70faaad8b1c84af91ca74 SHA512 8f4c83771a8b196ce3daff3d0a57f8d9a5d53d49528ac206aee767867d273056f50105371d6aa2e46e47fdd2c29ab56c3c1a41aef747c36af95c9968ccb8d755 WHIRLPOOL aef4793e528eab60f3044c42e4fec56ed1dd70b3e495993ef6bd7ff63114029d7d2b9d9bcbceb3069972587f5d5f6acb65c2eed5c01b0218036de7f847e70b33
+AUX scikits_learn-0.18.1-system-cblas.patch 1366 SHA256 5dbc0bff11389af8610a679830ec034073a8d6ac5d9bc06b68598051e79bc96a SHA512 be8527fa924502453a9f43af5b3553db50f97b4b1f1ee14fcb2699319e77e3d0d3c19bf82bd66357c6464011dcb819e3625a83360923d322f5d340568a72cbf6 WHIRLPOOL de034cee34eaac41c6058781cb55055319f894fe1670df6ae6ae7d43ac75b2c8dd121c6c933ebf69d6cb24e8396c8ea99a453d74c828fa2d723636ce56c9221d
+DIST scikit-learn-0.17.1.tar.gz 7898571 SHA256 9f4cf58e57d81783289fc503caaed1f210bab49b7a6f680bf3c04b1e0a96e5f0 SHA512 5786e04a13225d2433103f1873f2753e332704b98c4c32b840970f763ec1abf0248007089e5ae47e11c66535f05a0d0402715622e6d6f0955ec7961b92e1b2e5 WHIRLPOOL cded0be080aa0e6e5486d2613c007c7ff1ea769b623f60cb97c4e03b2d130c53b66e9c22a20d644c61cd82eb8b460024a2b84365ff846aacfc07bf49a6bef0ac
+DIST scikit-learn-0.17.tar.gz 7834903 SHA256 23a5b6804524cb2cd54d8310010169511c7633dcf69af7439747eec02677f314 SHA512 53a76e2f90e27967bf216cd9d7e8051ed847a3381e3b7b7b8236511b4105eef41bd4d3c9f7f71a51db4b0bf99cbd571d7c1b26803757cff04424b70cb834b555 WHIRLPOOL 3a1ef13dafe6eb38389f68bc75dee10bfe141bac6d2782cd11be27ffcb8fe7efdf113b6911a238c6cd141bfe3b69960f47cf0725d0ea033129dff8fb5c57bef4
+DIST scikit-learn-0.18.1.tar.gz 8933930 SHA256 1eddfc27bb37597a5d514de1299981758e660e0af56981c0bfdf462c9568a60c SHA512 7149e683424351a28c19501302ece147cb03d4d12b08822eb2b1898a4978b96803323778fbba628008dd7a7c85daea4e9b550a71ee76851f9a09b2baac18a799 WHIRLPOOL c709586d3b8bdd938a81e97cfc5c77e31b7b0ef068c2d3f6ec922999a524d9ba0234ca42270724b2f6f3da98409b6d85b229aa241adbc02136b95bbb91c757b6
+DIST scikit-learn-0.18.2.tar.gz 9224516 SHA256 f78c3e11bf38838eaf637cdd9e8d6b575a4a4048d1670a03a72b0d00d3f39ffa SHA512 7c5c7bdd577ad215790654ce1eff6e802aebe53283ab6c5f12684cf99aeecc8976f9a9803f619f549d4d03be0d7634f249046e4b4f15afa12aecb2697e2e0b05 WHIRLPOOL eb4ca45c73892ca378bd580f00fd4d7ad3ea886d9522586e88bf291162cb30bd3bb23ead2c5d2283010fac650d183c0979710f30d1ba4a57f12a8e87052df847
+DIST scikit-learn-0.19.0.tar.gz 9341628 SHA256 24f5cb67559e0df27827b1804b197431c08880d2ec9285724fac90906830021f SHA512 1b88bc043b08de9b5bb1f3814b8101c73ced010cf94bd725fb69e1ef95b4a9597a34de4a19f84fbbf63e54d47e95b3ff498d611234fcdfcaa5e4e3cf696289d2 WHIRLPOOL 8131244337c0f491fe687f823164d6ee067b3531576243367c3c99069d5a395b8b38acbc1d446046bd05588637f7ddf329f5a3af9a707efad43f3cbb0d7da492
+EBUILD scikits_learn-0.17.1.ebuild 3108 SHA256 9a1b54be6112faccbfe676769fb381a7f944be119518ee87c7961a5c2290ac8c SHA512 27b3ae0e98a17740d6b865b0113011168acce9a806d18140122800bf0c775feb9265943541e0a0fc85eb5dd1f7f20a44c1f143aa3965d56d0669f98a7e5928d4 WHIRLPOOL f8fbc5a1d3aaa8530e43b8cde2d01b345a218cc4db732121ac473e32c270b83e8af7505c4e5aca51738840f8dcdd0cc553e9e6641c63094fb7263ff7e2924a37
+EBUILD scikits_learn-0.17.ebuild 3113 SHA256 c8d30c142d0e539c804f815b2877d9ff8b31a912bdf41813f8aeaadd4c694b4f SHA512 1baab6150245b0870cf074eea95d32b49b6cb4ffe7e8bdf8c5d8dbf3e53a88a0c1938acd457c08085ffa479386eb292678747021b7d6c920c1c36e10ad35ebbf WHIRLPOOL 13742194c3fea5bdc651a6b25708652c3930444df860028fac3be1f4d82864b64519a0414995a029275fa26f157e4bd5f1637af4b5c9ad275cf3df7b86ff5b16
+EBUILD scikits_learn-0.18.1.ebuild 3135 SHA256 061b338457f05159c9d63c210a0b52b0ae463b26a0fd8a3986adb516b7b06e0c SHA512 953ced0361100ce25f0b9d3bf4ebf3e2f39ba3549d929a362f0fb772153c9be5558776c36cad7365f55955f2a97a2507062e764d343cc45f7d7ccf507ebf6d3c WHIRLPOOL c8821bdfe4e444a959cdb11d5f10df7e9d4ca1324ece580cd26343e54ef1d9a1708e4c9e96adfc7f45cccc00db816b8d6e1ed1394545297f79cde505fd6f3ec1
+EBUILD scikits_learn-0.18.2-r1.ebuild 3281 SHA256 fa10963094f0757b181fe67c03c1cebbf9f689df60684bfbc703ca7905ceb1f3 SHA512 f310f73b9776508f08b42027628a76e8caad84240d43ab317fa99d692857c28d08ccafaa3250c347600990b168fcb487855d42bef25d8ce8f05259f5f597e5a5 WHIRLPOOL fb96a892470541514952a6a36f5c1406b2ad99931509ecc3c782dafe3725d49f19cc8f1f97d60af62274a02799172039a9b8dce235230d5e0b6946155e5b34bd
+EBUILD scikits_learn-0.18.2.ebuild 3145 SHA256 9bc77e2d0e7a846a70b95720c509828a2017f6d645562225a781cb73e16dfd97 SHA512 dedfaf45ddd7f84ecc5b3e1dd684cb7f22ff163453e26873c43a689679d3a43d7ddeb1f84976c06d360a5265a1415101f875042fbd3aec9cf04457289ad3c414 WHIRLPOOL b6872e6b59f4e8e3ea34a4c1afdfddc4795d61c1aece389297ce8f1b543f1adacdfef1f555d6768c4e3a9cf1ccb5a0d4f2193a0dec74ae32945d045ffd73dbd1
+EBUILD scikits_learn-0.19.0.ebuild 2823 SHA256 4bbe99980e79efb421288809830814c312edb79cf93d0ad1050f90878afc1871 SHA512 07b1e7da5468f7767c0dacb59f7d7e80a13d983a310843ec9b844885aa75291b743dbc03ee4c9a2ff6e87c99c0ab1f83cfcf086bb0b7f1161e4ba740fa7700c9 WHIRLPOOL 166c25ef9ea6290044dd33b3ca506ca4a5a0600d005416d81deb3611906fd0c7dbf11d852253d33567a0f7893073345b983c7427a21df7baa6fd9d3b9c5d02db
+MISC ChangeLog 5786 SHA256 e9b352900df3514ad6ef5255f1b8ed801eef6c69cb547aa2fc15c8a9fbc619f0 SHA512 76a744a7715411369726a813bc57890fd9211de262f23b3f3b1546b654e4fbef11117b75a8a0891d494aa8180ef3f703740b3415c674e5cb9512a092c7a77910 WHIRLPOOL f477b5e7133c5c7e2594597f3fb9bdd94ffde5dfe091edcfc7f2883813573f61cc0cda98b9de5a93eec62d0c0cccfbd8bb32cf8f6070cc1a4f22a0c40efc756d
+MISC ChangeLog-2015 5726 SHA256 76fbcc3142b580d287089d267dbda8d044a3d0ade4d1e2e95af1a30aec2a442e SHA512 59b8a2d3390e0209cf1c3bdc15d17f16b2f400bd96a056ccd0bcb58e80e038e6be64dabbef0fc039d4ac23da03834146d686d870323121e40c1c0f763104adf6 WHIRLPOOL 4b465b0652cc74f4ea4c0306dc361e608ab0455a5e0d88e106d5ea56878acfe593364296b71446e36a3890282411049689e4dd0beda59ecad07c293423ed779f
+MISC metadata.xml 605 SHA256 53f4f834bd92f4a474b1ecf677edf25bb44b6bc4f36839e9f868ca0211e1610c SHA512 e14b6835108fa80eca44bab635c9a229da65f048ffcee16cd4ad7736c3a0fb364c94ff0bd9630030653bd3cd78d8dced191c43c7e5aacb3a7f6e61ac45b5bb3d WHIRLPOOL 6bbfde72835b1e1cb4bc94486e5b3a010e233e627561e7a0c109df70e4d3855227cbe33b732c040ff9ec5d0b216d36eb6f5650f0aae714a2b62b978f30fb80ac
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 000000000000..96c6cc2dbde5
--- /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/files/scikits_learn-0.17.1-system-cblas.patch b/sci-libs/scikits_learn/files/scikits_learn-0.17.1-system-cblas.patch
new file mode 100644
index 000000000000..42657a7adacc
--- /dev/null
+++ b/sci-libs/scikits_learn/files/scikits_learn-0.17.1-system-cblas.patch
@@ -0,0 +1,30 @@
+diff -Nur scikit-learn-0.17.1.orig/sklearn/_build_utils.py scikit-learn-0.17.1/sklearn/_build_utils.py
+--- scikit-learn-0.17.1.orig/sklearn/_build_utils.py	2016-03-09 00:27:54.756813784 +0000
++++ scikit-learn-0.17.1/sklearn/_build_utils.py	2016-03-09 00:30:09.605118512 +0000
+@@ -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 -Nur scikit-learn-0.17.1.orig/sklearn/setup.py scikit-learn-0.17.1/sklearn/setup.py
+--- scikit-learn-0.17.1.orig/sklearn/setup.py	2016-03-09 00:27:54.806813156 +0000
++++ scikit-learn-0.17.1/sklearn/setup.py	2016-03-09 00:29:28.215638848 +0000
+@@ -58,14 +58,6 @@
+         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')
diff --git a/sci-libs/scikits_learn/files/scikits_learn-0.18.1-system-cblas.patch b/sci-libs/scikits_learn/files/scikits_learn-0.18.1-system-cblas.patch
new file mode 100644
index 000000000000..e60f64947b03
--- /dev/null
+++ b/sci-libs/scikits_learn/files/scikits_learn-0.18.1-system-cblas.patch
@@ -0,0 +1,32 @@
+Index: scikit-learn-0.18.1/sklearn/_build_utils/__init__.py
+===================================================================
+--- scikit-learn-0.18.1.orig/sklearn/_build_utils/__init__.py
++++ scikit-learn-0.18.1/sklearn/_build_utils/__init__.py
+@@ -31,7 +31,7 @@ def get_blas_info():
+         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:
+Index: scikit-learn-0.18.1/sklearn/setup.py
+===================================================================
+--- scikit-learn-0.18.1.orig/sklearn/setup.py
++++ scikit-learn-0.18.1/sklearn/setup.py
+@@ -63,14 +63,6 @@ def configuration(parent_package='', top
+                          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')
diff --git a/sci-libs/scikits_learn/metadata.xml b/sci-libs/scikits_learn/metadata.xml
new file mode 100644
index 000000000000..0f62a4aec772
--- /dev/null
+++ b/sci-libs/scikits_learn/metadata.xml
@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+  <maintainer type="project">
+    <email>sci@gentoo.org</email>
+    <name>Gentoo Science Project</name>
+  </maintainer>
+  <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>
+    <remote-id type="sourceforge">scikit-learn</remote-id>
+  </upstream>
+</pkgmetadata>
diff --git a/sci-libs/scikits_learn/scikits_learn-0.17.1.ebuild b/sci-libs/scikits_learn/scikits_learn-0.17.1.ebuild
new file mode 100644
index 000000000000..052d3210d7e6
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.17.1.ebuild
@@ -0,0 +1,116 @@
+# Copyright 1999-2016 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5} )
+
+inherit distutils-r1 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[${PYTHON_USEDEP}]
+	>=dev-python/numpy-1.6.1[lapack,${PYTHON_USEDEP}]
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	>=sci-libs/scipy-0.9[${PYTHON_USEDEP}]
+	virtual/blas
+	virtual/cblas
+	virtual/python-funcsigs[${PYTHON_USEDEP}]
+	"
+DEPEND="
+	dev-python/cython[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	virtual/blas
+	virtual/cblas
+	doc? (
+		dev-python/joblib[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		dev-python/sphinx[${PYTHON_USEDEP}]
+		)"
+
+S="${WORKDIR}/${MYP}"
+
+PATCHES=( "${FILESDIR}/${P}-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"
+
+	# 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/cross_validation.py \
+		sklearn/decomposition/tests/test_sparse_pca.py \
+		sklearn/metrics/pairwise.py || die
+
+	rm sklearn/externals/funcsigs.py || die
+	rm sklearn/externals/odict.py || die
+	sed -e 's:from ..externals.funcsigs import signature:from funcsigs import signature:g' \
+		-i sklearn/utils/fixes.py || die
+
+	distutils-r1_python_prepare_all
+}
+
+python_compile() {
+	distutils-r1_python_compile ${SCIPY_FCONFIG}
+}
+
+python_compile_all() {
+	if use doc; then
+		cd "${S}/doc" || die
+		local d="${BUILD_DIR}"/lib
+		ln -s "${S}"/sklearn/datasets/{data,descr,images} \
+			"${d}"/sklearn/datasets || die
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,descr,images} || die
+	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
+	insinto /usr/share/doc/${PF}
+	use doc && doins -r doc/_build/html
+	use examples && doins -r examples
+	distutils-r1_python_install_all
+}
diff --git a/sci-libs/scikits_learn/scikits_learn-0.17.ebuild b/sci-libs/scikits_learn/scikits_learn-0.17.ebuild
new file mode 100644
index 000000000000..b2e0f79446eb
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.17.ebuild
@@ -0,0 +1,116 @@
+# Copyright 1999-2016 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=5
+
+PYTHON_COMPAT=( python2_7 python3_4 )
+
+inherit distutils-r1 eutils multilib flag-o-matic
+
+MYPN="${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-1.6.1[lapack,${PYTHON_USEDEP}]
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	>=sci-libs/scipy-0.9[${PYTHON_USEDEP}]
+	virtual/blas
+	virtual/cblas
+	virtual/python-funcsigs[${PYTHON_USEDEP}]
+	"
+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
+	doc? (
+		dev-python/joblib[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		dev-python/sphinx[${PYTHON_USEDEP}]
+		)"
+
+S="${WORKDIR}/${MYP}"
+
+python_prepare_all() {
+	# bug #397605
+	[[ ${CHOST} == *-darwin* ]] \
+		&& append-ldflags -bundle "-undefined dynamic_lookup" \
+		|| append-ldflags -shared
+
+	# scikits-learn now uses the horrible numpy.distutils automagic
+	export SCIPY_FCONFIG="config_fc --noopt --noarch"
+
+	# use system joblib
+	rm -r sklearn/externals/joblib/* || die
+	echo "from joblib import *" > sklearn/externals/joblib/__init__.py
+	sed -i -e '/joblib\/test/d' sklearn/externals/setup.py || die
+	sed -i -e 's/..externals.joblib/joblib/g' \
+		sklearn/decomposition/tests/test_sparse_pca.py \
+		sklearn/metrics/pairwise.py || die
+
+	rm sklearn/externals/funcsigs.py || die
+	rm sklearn/externals/odict.py || die
+	sed \
+		-e 's:from ..externals.funcsigs import signature:from funcsigs import signature:g' \
+		-i sklearn/utils/fixes.py || die
+
+	# use gentoo cblas infrastructure
+	epatch "${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" || die
+		local d="${BUILD_DIR}"/lib
+		ln -s "${S}"/sklearn/datasets/{data,descr,images} \
+			"${d}"/sklearn/datasets || die
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,descr,images} || die
+	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/. )
+	use examples && EXAMPLES=( examples/. )
+	distutils-r1_python_install_all
+}
diff --git a/sci-libs/scikits_learn/scikits_learn-0.18.1.ebuild b/sci-libs/scikits_learn/scikits_learn-0.18.1.ebuild
new file mode 100644
index 000000000000..69d00a0a7a62
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.18.1.ebuild
@@ -0,0 +1,119 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5} )
+
+inherit distutils-r1 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[${PYTHON_USEDEP}]
+	>=dev-python/numpy-1.6.1[lapack,${PYTHON_USEDEP}]
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	>=sci-libs/scipy-0.9[${PYTHON_USEDEP}]
+	virtual/blas
+	virtual/cblas
+	virtual/python-funcsigs[${PYTHON_USEDEP}]
+	"
+DEPEND="
+	dev-python/cython[${PYTHON_USEDEP}]
+	dev-python/numpy[lapack,${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	virtual/blas
+	virtual/cblas
+	doc? (
+		dev-python/joblib[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		dev-python/sphinx[${PYTHON_USEDEP}]
+		)"
+
+S="${WORKDIR}/${MYP}"
+
+PATCHES=( "${FILESDIR}/${P}-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
+
+	# 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
+
+	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 ${SCIPY_FCONFIG}
+}
+
+python_compile_all() {
+	if use doc; then
+		cd "${S}/doc" || die
+		local d="${BUILD_DIR}"/lib
+		ln -s "${S}"/sklearn/datasets/{data,descr,images} \
+			"${d}"/sklearn/datasets || die
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,descr,images} || die
+	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
+	insinto /usr/share/doc/${PF}
+	use doc && doins -r doc/_build/html
+	use examples && doins -r examples
+	distutils-r1_python_install_all
+}
diff --git a/sci-libs/scikits_learn/scikits_learn-0.18.2-r1.ebuild b/sci-libs/scikits_learn/scikits_learn-0.18.2-r1.ebuild
new file mode 100644
index 000000000000..339670ff4d3f
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.18.2-r1.ebuild
@@ -0,0 +1,123 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+
+inherit distutils-r1 flag-o-matic
+
+MYPN="${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}/${MYP}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc examples test"
+
+# tried to unbundle virtual/python-funcsigs, funcsigs, odict
+# but it is a large mess to maintain
+
+RDEPEND="
+	dev-python/matplotlib[${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:=
+	doc? (
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		dev-python/sphinx[${PYTHON_USEDEP}]
+	)
+"
+
+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 ${SCIPY_FCONFIG}
+}
+
+python_compile_all() {
+	if use doc; then
+		cd "${S}/doc" || die
+		local d="${BUILD_DIR}/lib"
+		ln -s \
+		   "${S}"/sklearn/datasets/{data,descr,images} \
+		   "${d}"/sklearn/datasets || die
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,descr,images} || die
+	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
+	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
+	insinto /usr/share/doc/${PF}
+	use doc && doins -r doc/_build/html
+	use examples && doins -r examples
+	distutils-r1_python_install_all
+}
diff --git a/sci-libs/scikits_learn/scikits_learn-0.18.2.ebuild b/sci-libs/scikits_learn/scikits_learn-0.18.2.ebuild
new file mode 100644
index 000000000000..7f8aa4ce6687
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.18.2.ebuild
@@ -0,0 +1,119 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+
+inherit distutils-r1 flag-o-matic
+
+MYPN="${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-1.6.1[lapack,${PYTHON_USEDEP}]
+	sci-libs/scikits[${PYTHON_USEDEP}]
+	>=sci-libs/scipy-0.9[${PYTHON_USEDEP}]
+	virtual/blas
+	virtual/cblas
+	virtual/python-funcsigs[${PYTHON_USEDEP}]
+	"
+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
+	doc? (
+		dev-python/joblib[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		dev-python/sphinx[${PYTHON_USEDEP}]
+		)"
+
+S="${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
+
+	# 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
+
+	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 ${SCIPY_FCONFIG}
+}
+
+python_compile_all() {
+	if use doc; then
+		cd "${S}/doc" || die
+		local d="${BUILD_DIR}"/lib
+		ln -s "${S}"/sklearn/datasets/{data,descr,images} \
+			"${d}"/sklearn/datasets || die
+		VARTEXFONTS="${T}"/fonts \
+			MPLCONFIGDIR="${BUILD_DIR}" \
+			PYTHONPATH="${d}" \
+			emake html
+		rm -r "${d}"/sklearn/datasets/{data,descr,images} || die
+	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
+	insinto /usr/share/doc/${PF}
+	use doc && doins -r doc/_build/html
+	use examples && doins -r examples
+	distutils-r1_python_install_all
+}
diff --git a/sci-libs/scikits_learn/scikits_learn-0.19.0.ebuild b/sci-libs/scikits_learn/scikits_learn-0.19.0.ebuild
new file mode 100644
index 000000000000..0b9b744c56a6
--- /dev/null
+++ b/sci-libs/scikits_learn/scikits_learn-0.19.0.ebuild
@@ -0,0 +1,106 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+
+inherit distutils-r1 flag-o-matic
+
+MYPN="${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}/${MYP}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="examples test"
+
+# tried to unbundle virtual/python-funcsigs, funcsigs, odict
+# but it is a large mess to maintain
+
+RDEPEND="
+	dev-python/matplotlib[${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
+
+}