removed package
This commit is contained in:
Horea Christian
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DIST scikit-learn-0.17.1.tar.gz 7898571 SHA256 9f4cf58e57d81783289fc503caaed1f210bab49b7a6f680bf3c04b1e0a96e5f0 SHA512 5786e04a13225d2433103f1873f2753e332704b98c4c32b840970f763ec1abf0248007089e5ae47e11c66535f05a0d0402715622e6d6f0955ec7961b92e1b2e5 WHIRLPOOL cded0be080aa0e6e5486d2613c007c7ff1ea769b623f60cb97c4e03b2d130c53b66e9c22a20d644c61cd82eb8b460024a2b84365ff846aacfc07bf49a6bef0ac
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@ -1,28 +0,0 @@
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--- sklearn/setup.py.orig 2013-08-08 13:54:08.310879167 -0700
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+++ sklearn/setup.py 2013-08-08 13:52:59.808456423 -0700
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@@ -68,14 +68,6 @@
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libraries=libraries,
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)
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- # some libs needs cblas, fortran-compiled BLAS will not be sufficient
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- blas_info = get_info('blas_opt', 0)
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- if (not blas_info) or (
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- ('NO_ATLAS_INFO', 1) in blas_info.get('define_macros', [])):
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- config.add_library('cblas',
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- sources=[join('src', 'cblas', '*.c')])
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- warnings.warn(BlasNotFoundError.__doc__)
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-
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# the following packages depend on cblas, so they have to be build
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# after the above.
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config.add_subpackage('linear_model')
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--- sklearn/_build_utils.py.orig 2013-08-08 14:01:35.994589269 -0700
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+++ sklearn/_build_utils.py 2013-08-08 12:19:41.875967870 -0700
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@@ -23,7 +23,7 @@
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return False
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blas_info = get_info('blas_opt', 0)
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- if (not blas_info) or atlas_not_found(blas_info):
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+ if (not blas_info):
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cblas_libs = ['cblas']
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blas_info.pop('libraries', None)
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else:
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@ -1,30 +0,0 @@
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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
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--- scikit-learn-0.17.1.orig/sklearn/_build_utils.py 2016-03-09 00:27:54.756813784 +0000
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+++ scikit-learn-0.17.1/sklearn/_build_utils.py 2016-03-09 00:30:09.605118512 +0000
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@@ -23,7 +23,7 @@
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return False
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blas_info = get_info('blas_opt', 0)
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- if (not blas_info) or atlas_not_found(blas_info):
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+ if (not blas_info):
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cblas_libs = ['cblas']
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blas_info.pop('libraries', None)
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else:
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diff -Nur scikit-learn-0.17.1.orig/sklearn/setup.py scikit-learn-0.17.1/sklearn/setup.py
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--- scikit-learn-0.17.1.orig/sklearn/setup.py 2016-03-09 00:27:54.806813156 +0000
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+++ scikit-learn-0.17.1/sklearn/setup.py 2016-03-09 00:29:28.215638848 +0000
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@@ -58,14 +58,6 @@
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libraries=libraries,
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)
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- # some libs needs cblas, fortran-compiled BLAS will not be sufficient
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- blas_info = get_info('blas_opt', 0)
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- if (not blas_info) or (
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- ('NO_ATLAS_INFO', 1) in blas_info.get('define_macros', [])):
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- config.add_library('cblas',
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- sources=[join('src', 'cblas', '*.c')])
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- warnings.warn(BlasNotFoundError.__doc__)
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-
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# the following packages depend on cblas, so they have to be build
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# after the above.
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config.add_subpackage('linear_model')
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@ -1,117 +0,0 @@
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# Copyright 1999-2016 Gentoo Foundation
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# Distributed under the terms of the GNU General Public License v2
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# $Id$
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EAPI=6
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PYTHON_COMPAT=( python2_7 python3_{3,4,5} )
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inherit distutils-r1 flag-o-matic
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MYPN="${PN/scikits_/scikit-}"
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MYP="${MYPN}-${PV}"
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DESCRIPTION="Python modules for machine learning and data mining"
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HOMEPAGE="http://scikit-learn.org"
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SRC_URI="mirror://pypi/${MYPN:0:1}/${MYPN}/${MYP}.tar.gz"
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LICENSE="BSD"
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SLOT="0"
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KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
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IUSE="doc examples test"
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RDEPEND="
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dev-python/joblib[${PYTHON_USEDEP}]
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dev-python/matplotlib[${PYTHON_USEDEP}]
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dev-python/nose[${PYTHON_USEDEP}]
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>=dev-python/numpy-1.6.1[lapack,${PYTHON_USEDEP}]
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sci-libs/scikits[${PYTHON_USEDEP}]
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>=sci-libs/scipy-0.9[${PYTHON_USEDEP}]
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virtual/blas
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virtual/cblas
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virtual/python-funcsigs[${PYTHON_USEDEP}]
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"
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DEPEND="
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dev-python/cython[${PYTHON_USEDEP}]
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dev-python/numpy[lapack,${PYTHON_USEDEP}]
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dev-python/setuptools[${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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virtual/blas
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virtual/cblas
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doc? (
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dev-python/joblib[${PYTHON_USEDEP}]
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dev-python/matplotlib[${PYTHON_USEDEP}]
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dev-python/sphinx[${PYTHON_USEDEP}]
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)"
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S="${WORKDIR}/${MYP}"
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PATCHES=( "${FILESDIR}/${P}-system-cblas.patch" )
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python_prepare_all() {
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# bug #397605
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[[ ${CHOST} == *-darwin* ]] \
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&& append-ldflags -bundle "-undefined dynamic_lookup" \
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|| append-ldflags -shared
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# scikits-learn now uses the horrible numpy.distutils automagic
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export SCIPY_FCONFIG="config_fc --noopt --noarch"
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# use system joblib
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rm -r sklearn/externals/joblib/* || die
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echo "from joblib import *" > sklearn/externals/joblib/__init__.py
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sed -i -e '/joblib\/test/d' sklearn/externals/setup.py || die
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sed -i -e 's/..externals.joblib/ joblib/g' \
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sklearn/cross_validation.py \
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sklearn/decomposition/tests/test_sparse_pca.py \
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sklearn/metrics/pairwise.py || die
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rm sklearn/externals/funcsigs.py || die
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rm sklearn/externals/odict.py || die
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sed -e 's:from ..externals.funcsigs import signature:from funcsigs import signature:g' \
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-i sklearn/utils/fixes.py || die
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distutils-r1_python_prepare_all
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}
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python_compile() {
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distutils-r1_python_compile ${SCIPY_FCONFIG}
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}
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python_compile_all() {
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if use doc; then
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cd "${S}/doc" || die
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local d="${BUILD_DIR}"/lib
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ln -s "${S}"/sklearn/datasets/{data,descr,images} \
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"${d}"/sklearn/datasets || die
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VARTEXFONTS="${T}"/fonts \
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MPLCONFIGDIR="${BUILD_DIR}" \
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PYTHONPATH="${d}" \
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emake html
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rm -r "${d}"/sklearn/datasets/{data,descr,images} || die
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fi
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}
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python_test() {
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# doc builds and runs tests
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use doc && return
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distutils_install_for_testing ${SCIPY_FCONFIG}
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esetup.py \
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install --root="${T}/test-${EPYTHON}" \
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--no-compile ${SCIPY_FCONFIG}
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pushd "${T}/test-${EPYTHON}/$(python_get_sitedir)" || die > /dev/null
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nosetests -v sklearn --exe || die
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popd > /dev/null
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}
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python_install() {
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distutils-r1_python_install ${SCIPY_FCONFIG}
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}
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python_install_all() {
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find "${S}" -name \*LICENSE.txt -delete
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insinto /usr/share/doc/${PF}
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use doc && doins -r doc/_build/html
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use examples && doins -r examples
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distutils-r1_python_install_all
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}
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