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mirror of synced 2024-12-22 21:00:20 +01:00

Merge branch 'master' of github.com:TheChymera/overlay

This commit is contained in:
Horea Christian 2016-08-19 15:51:31 +02:00
commit 7750be922d
4 changed files with 176 additions and 0 deletions

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DIST scikit-learn-0.17.1.tar.gz 7898571 SHA256 9f4cf58e57d81783289fc503caaed1f210bab49b7a6f680bf3c04b1e0a96e5f0 SHA512 5786e04a13225d2433103f1873f2753e332704b98c4c32b840970f763ec1abf0248007089e5ae47e11c66535f05a0d0402715622e6d6f0955ec7961b92e1b2e5 WHIRLPOOL cded0be080aa0e6e5486d2613c007c7ff1ea769b623f60cb97c4e03b2d130c53b66e9c22a20d644c61cd82eb8b460024a2b84365ff846aacfc07bf49a6bef0ac

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--- 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:

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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')

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# Copyright 1999-2016 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
# $Id$
EAPI=6
PYTHON_COMPAT=( python2_7 python3_{3,4,5} )
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
}