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gentoo-overlay/dev-python/aesara/aesara-2.2.2.ebuild

71 lines
2.1 KiB

# Copyright 2021 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
PYTHON_COMPAT=( python3_{8..10} )
inherit distutils-r1 optfeature
MY_P=aesara-rel-${PV}
DESCRIPTION="Library for operating on mathematical expressions with multi-dimensional arrays"
HOMEPAGE="https://github.com/aesara-devs/aesara"
SRC_URI="https://github.com/aesara-devs/aesara/archive/rel-${PV}.tar.gz -> ${MY_P}.tar.gz"
S="${WORKDIR}/${MY_P}"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~arm ~arm64 ~x86"
RDEPEND="
dev-python/filelock[${PYTHON_USEDEP}]
>=dev-python/numpy-1.17.0[${PYTHON_USEDEP}]
dev-python/six[${PYTHON_USEDEP}]
dev-python/scipy[${PYTHON_USEDEP}]"
BDEPEND="
test? (
dev-python/pytest-xdist[${PYTHON_USEDEP}]
)"
distutils_enable_sphinx doc 'dev-python/sphinx_rtd_theme'
distutils_enable_tests pytest
python_prepare_all() {
sed -i -e "s/tests.\*/tests\*/" setup.py || die
distutils-r1_python_prepare_all
}
python_test() {
local exclude=(
# speed tests are unreliable
tests/scan/test_basic.py::test_speed
tests/scan/test_basic.py::test_speed_rnn
tests/scan/test_basic.py::test_speed_batchrnn
tests/link/test_vm.py::test_speed
tests/link/test_vm.py::test_speed_lazy
tests/tensor/test_gc.py::test_merge_opt_runtime
# rounding problem?
# https://github.com/aesara-devs/aesara/issues/477
tests/tensor/test_math_scipy.py::TestGammaUBroadcast::test_good
tests/tensor/test_math_scipy.py::TestGammaUInplaceBroadcast::test_good
)
distutils_install_for_testing
# we do not package numba
epytest ${exclude[@]/#/--deselect } \
--ignore tests/link/test_numba.py \
-n "$(makeopts_jobs "${MAKEOPTS}" "$(get_nproc)")"
}
# https://dev.gentoo.org/~mgorny/python-guide/concept.html#packaging-pkgutil-style-namespaces-in-gentoo
python_install() {
rm "${BUILD_DIR}"/lib/bin/__init__.py || die
distutils-r1_python_install
}
pkg_postinst() {
optfeature "GPU code generation/execution on NVIDIA gpus" dev-util/nvidia-cuda-toolkit dev-util/nvidia-cuda-sdk
optfeature "GPU/CPU code generation on CUDA and OpenCL devices" dev-libs/libgpuarray dev-python/pycuda
}