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dev-python/numpy: Bump to 1.24.2
Signed-off-by: Michał Górny <mgorny@gentoo.org>
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DIST numpy-1.24.0.tar.gz 10897101 BLAKE2B 59e2b913f90de76589d8fbb2f07e2d389012c7f6ce9bd641bc4837776465ce9c41c34f19f92bee55d4bae6245c1d2c84315b359ef0b089fd68d31cd7e7ec44b1 SHA512 3b4e6255b8d39e8504a50ecd3c2ba09d5b16d3f6c70b23b67e4dbf03d1fe390c55030f46090341d39a1ee8228c61ad6212fdc6e4579fcec9e26b4dbe70268661
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DIST numpy-1.24.2.tar.gz 10906862 BLAKE2B e48f65eab709f0c57ec378d813a7b65bcaca6d5960b559d6db1c60726e5cf12517f4b2e1636b0ff815a2109925edccba200270db5170fd0aff5fd635919165ac SHA512 145fd7fb3919a185f75076d51b92c54a7fb1b776b637752ca15fdee15b239d6a517ef1bb8cded7c92e059cf6cda0146c24943c042d19b791e81125bc0ad4b820
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164
dev-python/numpy/numpy-1.24.2.ebuild
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dev-python/numpy/numpy-1.24.2.ebuild
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# Copyright 1999-2023 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=8
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PYTHON_COMPAT=( python3_{9..11} )
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PYTHON_REQ_USE="threads(+)"
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FORTRAN_NEEDED=lapack
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inherit distutils-r1 flag-o-matic fortran-2 pypi toolchain-funcs
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DOC_PV=${PV}
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DESCRIPTION="Fast array and numerical python library"
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HOMEPAGE="
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https://numpy.org/
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https://github.com/numpy/numpy/
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https://pypi.org/project/numpy/
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"
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LICENSE="BSD"
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SLOT="0"
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KEYWORDS="~alpha ~amd64 ~arm ~arm64 ~hppa ~ia64 ~loong ~m68k ~mips ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86 ~amd64-linux ~x86-linux ~ppc-macos ~x64-macos ~sparc-solaris ~x64-solaris ~x86-solaris"
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IUSE="lapack"
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RDEPEND="
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lapack? (
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>=virtual/cblas-3.8
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>=virtual/lapack-3.8
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)
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"
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BDEPEND="
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${RDEPEND}
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>=dev-python/cython-0.29.30[${PYTHON_USEDEP}]
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lapack? (
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virtual/pkgconfig
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)
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test? (
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>=dev-python/cffi-1.14.0[${PYTHON_USEDEP}]
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dev-python/charset_normalizer[${PYTHON_USEDEP}]
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>=dev-python/hypothesis-5.8.0[${PYTHON_USEDEP}]
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>=dev-python/pytz-2019.3[${PYTHON_USEDEP}]
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)
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"
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PATCHES=(
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"${FILESDIR}"/numpy-1.22.0-no-hardcode-blasv2.patch
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)
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distutils_enable_tests pytest
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python_prepare_all() {
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# Allow use with setuptools 60.x
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# See numpy-1.22.1-revert-setuptools-upper-bound.patch for details
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export SETUPTOOLS_USE_DISTUTILS=stdlib
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if use lapack; then
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local incdir="${EPREFIX}"/usr/include
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local libdir="${EPREFIX}"/usr/$(get_libdir)
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cat >> site.cfg <<-EOF || die
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[blas]
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include_dirs = ${incdir}
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library_dirs = ${libdir}
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blas_libs = cblas,blas
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[lapack]
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library_dirs = ${libdir}
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lapack_libs = lapack
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EOF
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else
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export {ATLAS,PTATLAS,BLAS,LAPACK,MKL}=None
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fi
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export CC="$(tc-getCC) ${CFLAGS}"
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append-flags -fno-strict-aliasing
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# See progress in http://projects.scipy.org/scipy/numpy/ticket/573
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# with the subtle difference that we don't want to break Darwin where
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# -shared is not a valid linker argument
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if [[ ${CHOST} != *-darwin* ]]; then
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append-ldflags -shared
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fi
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# only one fortran to link with:
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# linking with cblas and lapack library will force
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# autodetecting and linking to all available fortran compilers
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append-fflags -fPIC
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if use lapack; then
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NUMPY_FCONFIG="config_fc --noopt --noarch"
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# workaround bug 335908
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[[ $(tc-getFC) == *gfortran* ]] && NUMPY_FCONFIG+=" --fcompiler=gnu95"
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fi
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# don't version f2py, we will handle it.
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sed -i -e '/f2py_exe/s: + os\.path.*$::' numpy/f2py/setup.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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export MAKEOPTS=-j1 #660754
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distutils-r1_python_compile ${NUMPY_FCONFIG}
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}
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python_test() {
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local EPYTEST_DESELECT=(
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# very disk- and memory-hungry
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numpy/lib/tests/test_histograms.py::TestHistogram::test_big_arrays
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numpy/lib/tests/test_io.py::test_large_zip
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# precision problems
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numpy/core/tests/test_umath_accuracy.py::TestAccuracy::test_validate_transcendentals
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# runs the whole test suite recursively, that's just crazy
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numpy/core/tests/test_mem_policy.py::test_new_policy
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# very slow, unlikely to be practically useful
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numpy/typing/tests/test_typing.py
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)
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if use arm && [[ $(uname -m || echo "unknown") == "armv8l" ]] ; then
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# Degenerate case. arm32 chroot on arm64.
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# bug #774108
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EPYTEST_DESELECT+=(
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numpy/core/tests/test_cpu_features.py::Test_ARM_Features::test_features
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)
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fi
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if use x86 ; then
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EPYTEST_DESELECT+=(
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# https://github.com/numpy/numpy/issues/18388
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numpy/core/tests/test_umath.py::TestRemainder::test_float_remainder_overflow
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# https://github.com/numpy/numpy/issues/18387
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numpy/random/tests/test_generator_mt19937.py::TestRandomDist::test_pareto
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# more precision problems
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numpy/core/tests/test_einsum.py::TestEinsum::test_einsum_sums_int16
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)
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fi
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if use arm || use x86 ; then
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EPYTEST_DESELECT+=(
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# too large for 32-bit platforms
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numpy/core/tests/test_ufunc.py::TestUfunc::test_identityless_reduction_huge_array
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)
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fi
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distutils_install_for_testing --single-version-externally-managed \
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--record "${TMPDIR}/record.txt" ${NUMPY_FCONFIG}
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cd "${TEST_DIR}/lib" || die
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epytest -k "not _fuzz"
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}
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python_install() {
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# https://github.com/numpy/numpy/issues/16005
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local mydistutilsargs=( build_src )
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distutils-r1_python_install ${NUMPY_FCONFIG}
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python_optimize
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}
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python_install_all() {
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local DOCS=( LICENSE.txt README.md THANKS.txt )
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distutils-r1_python_install_all
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}
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