sci-libs/scikits_learn: deprecated by Gentoo Main
https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=caeeaa26d5b88873af0772f80961052a3a2fcfb2
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Horea Christian
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commit
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@ -1,8 +0,0 @@
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*scikits_learn-0.22.1 (08 Apr 2020)
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08 Apr 2020; <chymera@gentoo.org>
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+files/scikits_learn-0.18.1-system-cblas.patch,
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+files/scikits_learn-0.20.2-fix-cdfast.patch, +metadata.xml,
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+scikits_learn-0.22.1.ebuild:
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sci-libs/scikits_learn: non-broken version bump ahead of Gentoo Main
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https://github.com/gentoo/gentoo/pull/15065#issuecomment-610712405
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DIST scikit-learn-0.22.1.tar.gz 6942980 SHA256 51ee25330fc244107588545c70e2f3570cfc4017cff09eed69d6e1d82a212b7d SHA512 14191baf3457a3d216d74be34497a3677dd91bb1d3916db6928a4fa1ce93a62c5c9c9879a99fe5317fe088b85b00556087748470a93d3b9d89dbac850a00bc26 WHIRLPOOL e3db86763f1990198137b9ae8035d907ac3d4477c732fd4447dabae084c0dc03a01f5b8b0fed2700dcfa6c0e6e151b9e2c6b7ea5c4a383d44675d082b59fc370
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@ -1,32 +0,0 @@
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Index: scikit-learn-0.18.1/sklearn/_build_utils/__init__.py
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===================================================================
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--- scikit-learn-0.18.1.orig/sklearn/_build_utils/__init__.py
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+++ scikit-learn-0.18.1/sklearn/_build_utils/__init__.py
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@@ -31,7 +31,7 @@ def get_blas_info():
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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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Index: scikit-learn-0.18.1/sklearn/setup.py
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===================================================================
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--- scikit-learn-0.18.1.orig/sklearn/setup.py
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+++ scikit-learn-0.18.1/sklearn/setup.py
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@@ -63,14 +63,6 @@ def configuration(parent_package='', top
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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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@ -1,42 +0,0 @@
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--- scikit-learn-0.20.3.orig/sklearn/linear_model/cd_fast.c 2019-08-09 03:05:05.351926119 +0500
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+++ scikit-learn-0.20.3/sklearn/linear_model/cd_fast.c 2019-08-09 03:05:35.022926006 +0500
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@@ -4889,7 +4889,7 @@
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static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_w, float __pyx_v_alpha, float __pyx_v_beta, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_y, int __pyx_v_max_iter, float __pyx_v_tol, PyObject *__pyx_v_rng, int __pyx_v_random, int __pyx_v_positive) {
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PyObject *__pyx_v_dtype = NULL;
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- void (*__pyx_v_gemv)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, float, float *, int, float *, int, float, float *, int);
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+ void (*__pyx_v_gemv)(CBLAS_ORDER, CBLAS_TRANSPOSE, int, int, float, float *, int, float *, int, float, float *, int);
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float (*__pyx_v_dot)(int, float *, int, float *, int);
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void (*__pyx_v_axpy)(int, float, float *, int, float *, int);
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float (*__pyx_v_asum)(int, float *, int);
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@@ -6279,7 +6279,7 @@
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static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_w, double __pyx_v_alpha, double __pyx_v_beta, __Pyx_memviewslice __pyx_v_X, __Pyx_memviewslice __pyx_v_y, int __pyx_v_max_iter, double __pyx_v_tol, PyObject *__pyx_v_rng, int __pyx_v_random, int __pyx_v_positive) {
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PyObject *__pyx_v_dtype = NULL;
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- void (*__pyx_v_gemv)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, double, double *, int, double *, int, double, double *, int);
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+ void (*__pyx_v_gemv)(CBLAS_ORDER, CBLAS_TRANSPOSE, int, int, double, double *, int, double *, int, double, double *, int);
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double (*__pyx_v_dot)(int, double *, int, double *, int);
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void (*__pyx_v_axpy)(int, double, double *, int, double *, int);
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double (*__pyx_v_asum)(int, double *, int);
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@@ -16246,8 +16246,8 @@
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CYTHON_UNUSED float (*__pyx_v_asum)(int, float *, int);
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void (*__pyx_v_copy)(int, float *, int, float *, int);
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void (*__pyx_v_scal)(int, float, float *, int);
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- void (*__pyx_v_ger)(enum CBLAS_ORDER, int, int, float, float *, int, float *, int, float *, int);
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- void (*__pyx_v_gemv)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, float, float *, int, float *, int, float, float *, int);
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+ void (*__pyx_v_ger)(CBLAS_ORDER, int, int, float, float *, int, float *, int, float *, int);
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+ void (*__pyx_v_gemv)(CBLAS_ORDER, CBLAS_TRANSPOSE, int, int, float, float *, int, float *, int, float, float *, int);
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unsigned int __pyx_v_n_samples;
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unsigned int __pyx_v_n_features;
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unsigned int __pyx_v_n_tasks;
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@@ -17965,8 +17965,8 @@
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CYTHON_UNUSED double (*__pyx_v_asum)(int, double *, int);
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void (*__pyx_v_copy)(int, double *, int, double *, int);
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void (*__pyx_v_scal)(int, double, double *, int);
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- void (*__pyx_v_ger)(enum CBLAS_ORDER, int, int, double, double *, int, double *, int, double *, int);
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- void (*__pyx_v_gemv)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, double, double *, int, double *, int, double, double *, int);
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+ void (*__pyx_v_ger)(CBLAS_ORDER, int, int, double, double *, int, double *, int, double *, int);
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+ void (*__pyx_v_gemv)(CBLAS_ORDER, CBLAS_TRANSPOSE, int, int, double, double *, int, double *, int, double, double *, int);
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unsigned int __pyx_v_n_samples;
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unsigned int __pyx_v_n_features;
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unsigned int __pyx_v_n_tasks;
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<maintainer type="project">
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<email>sci@gentoo.org</email>
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<name>Gentoo Science Project</name>
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</maintainer>
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<longdescription lang="en">
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scikits.learn is a python library for machine learning. It aims to
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implement classic machine learning algorithms while remaining simple
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and efficient.
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</longdescription>
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<upstream>
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<remote-id type="pypi">scikit-learn</remote-id>
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<remote-id type="sourceforge">scikit-learn</remote-id>
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</upstream>
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</pkgmetadata>
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# Copyright 1999-2020 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=7
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PYTHON_COMPAT=( python3_{6,7} )
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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"
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IUSE="doc examples test"
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RESTRICT="!test? ( 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[${PYTHON_USEDEP}]
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dev-python/numpy[lapack,${PYTHON_USEDEP}]
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sci-libs/scikits[${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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virtual/blas:=
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virtual/cblas:=
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"
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BDEPEND="
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dev-python/cython[${PYTHON_USEDEP}]
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dev-python/numpy[lapack,${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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test? ( dev-python/pytest[${PYTHON_USEDEP}] )
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virtual/blas:=
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virtual/cblas:=
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"
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S="${WORKDIR}/${MYP}"
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python_prepare_all() {
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# bug #397605
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[[ ${CHOST} == *-darwin* ]] &&
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append-ldflags -bundle "-undefined dynamic_lookup" ||
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append-ldflags -shared
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# remove bundled cblas
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rm -rf sklearn/src || die "failed to remove bundled cblas"
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distutils-r1_python_prepare_all
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}
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python_compile() {
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distutils-r1_python_compile
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}
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python_test() {
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esetup.py install \
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--root="${T}/test-${EPYTHON}"
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pushd "${T}/test-${EPYTHON}/$(python_get_sitedir)" || die > /dev/null
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pytest -m "not network" -vv || die
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popd > /dev/null
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#distutils_install_for_testing
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#${EPYTHON} -m pytest -v "${BUILD_DIR}/test/lib/sklearn" || die
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}
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python_install() {
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distutils-r1_python_install
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}
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python_install_all() {
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find "${S}" -name \*LICENSE.txt -delete || die
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distutils-r1_python_install_all
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if use examples; then
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dodoc -r examples
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docompress -x /usr/share/doc/${PF}/examples
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fi
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}
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