# Copyright 1999-2023 Gentoo Authors # Distributed under the terms of the GNU General Public License v2 EAPI=8 DISTUTILS_EXT=1 PYTHON_COMPAT=( python3_{9..11} pypy3 ) PYTHON_REQ_USE="threads(+)" FORTRAN_NEEDED=lapack inherit distutils-r1 flag-o-matic fortran-2 multiprocessing pypi inherit toolchain-funcs DOC_PV=${PV} DESCRIPTION="Fast array and numerical python library" HOMEPAGE=" https://numpy.org/ https://github.com/numpy/numpy/ https://pypi.org/project/numpy/ " LICENSE="BSD" SLOT="0" KEYWORDS="~alpha amd64 arm arm64 ~hppa ~ia64 ~loong ~m68k ~mips ppc ppc64 ~riscv ~s390 ~sparc ~x86 ~amd64-linux ~x86-linux ~ppc-macos ~x64-macos ~x64-solaris" IUSE="lapack" RDEPEND=" lapack? ( >=virtual/cblas-3.8 >=virtual/lapack-3.8 ) " BDEPEND=" ${RDEPEND} =dev-python/cython-0.29.30[${PYTHON_USEDEP}] lapack? ( virtual/pkgconfig ) test? ( $(python_gen_cond_dep ' >=dev-python/cffi-1.14.0[${PYTHON_USEDEP}] ' 'python*') dev-python/charset-normalizer[${PYTHON_USEDEP}] >=dev-python/hypothesis-5.8.0[${PYTHON_USEDEP}] dev-python/pytest-xdist[${PYTHON_USEDEP}] >=dev-python/pytz-2019.3[${PYTHON_USEDEP}] ) " PATCHES=( "${FILESDIR}"/numpy-1.22.0-no-hardcode-blasv2.patch "${FILESDIR}"/numpy-1.24.3-fix-c++-linkage.patch ) distutils_enable_tests pytest python_prepare_all() { # Allow use with setuptools 60.x # See numpy-1.22.1-revert-setuptools-upper-bound.patch for details export SETUPTOOLS_USE_DISTUTILS=stdlib if use lapack; then local incdir="${EPREFIX}"/usr/include local libdir="${EPREFIX}"/usr/$(get_libdir) cat >> site.cfg <<-EOF || die [blas] include_dirs = ${incdir} library_dirs = ${libdir} blas_libs = cblas,blas [lapack] library_dirs = ${libdir} lapack_libs = lapack EOF else export {ATLAS,PTATLAS,BLAS,LAPACK,MKL}=None fi export CC="$(tc-getCC) ${CFLAGS}" append-flags -fno-strict-aliasing # See progress in http://projects.scipy.org/scipy/numpy/ticket/573 # with the subtle difference that we don't want to break Darwin where # -shared is not a valid linker argument if [[ ${CHOST} != *-darwin* ]]; then append-ldflags -shared fi # only one fortran to link with: # linking with cblas and lapack library will force # autodetecting and linking to all available fortran compilers append-fflags -fPIC if use lapack; then NUMPY_FCONFIG="config_fc --noopt --noarch" # workaround bug 335908 [[ $(tc-getFC) == *gfortran* ]] && NUMPY_FCONFIG+=" --fcompiler=gnu95" fi # don't version f2py, we will handle it. sed -i -e '/f2py_exe/s: + os\.path.*$::' numpy/f2py/setup.py || die distutils-r1_python_prepare_all } python_compile() { local -x MAKEOPTS=-j1 #660754 distutils-r1_python_compile ${NUMPY_FCONFIG} } python_test() { local EPYTEST_DESELECT=( # very disk- and memory-hungry numpy/lib/tests/test_histograms.py::TestHistogram::test_big_arrays numpy/lib/tests/test_io.py::test_large_zip # precision problems numpy/core/tests/test_umath_accuracy.py::TestAccuracy::test_validate_transcendentals # runs the whole test suite recursively, that's just crazy numpy/core/tests/test_mem_policy.py::test_new_policy # very slow, unlikely to be practically useful numpy/typing/tests/test_typing.py ) if use arm && [[ $(uname -m || echo "unknown") == "armv8l" ]] ; then # Degenerate case. arm32 chroot on arm64. # bug #774108 EPYTEST_DESELECT+=( numpy/core/tests/test_cpu_features.py::Test_ARM_Features::test_features ) fi if use x86 ; then EPYTEST_DESELECT+=( # https://github.com/numpy/numpy/issues/18388 numpy/core/tests/test_umath.py::TestRemainder::test_float_remainder_overflow # https://github.com/numpy/numpy/issues/18387 numpy/random/tests/test_generator_mt19937.py::TestRandomDist::test_pareto # more precision problems numpy/core/tests/test_einsum.py::TestEinsum::test_einsum_sums_int16 ) fi case "${ABI}" in alpha|arm|hppa|m68k|o32|ppc|s390|sh|sparc|x86) EPYTEST_DESELECT+=( # too large for 32-bit platforms numpy/core/tests/test_ufunc.py::TestUfunc::test_identityless_reduction_huge_array ) ;; *) ;; esac distutils_install_for_testing --single-version-externally-managed \ --record "${TMPDIR}/record.txt" ${NUMPY_FCONFIG} cd "${TEST_DIR}/lib" || die epytest -k "not _fuzz" -n "$(makeopts_jobs)" } python_install() { # https://github.com/numpy/numpy/issues/16005 local mydistutilsargs=( build_src ) distutils-r1_python_install ${NUMPY_FCONFIG} python_optimize } python_install_all() { local DOCS=( LICENSE.txt README.md THANKS.txt ) distutils-r1_python_install_all }