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dev-python/aesara: Bump to 2.7.8
Signed-off-by: Michał Górny <mgorny@gentoo.org>
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@ -2,3 +2,4 @@ DIST aesara-rel-2.7.3.gh.tar.gz 7918433 BLAKE2B 5f0eaa5cb241db3fb59bfd5fda056681
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DIST aesara-rel-2.7.5.gh.tar.gz 7920343 BLAKE2B 04f7c1cf587799b915a54067a98608cee49de8ab8a50c6d8434aa7ad6bd27b547f9e4a4f71d459d8fca9805f97232a9ba4a1beb5240a8e89dd19f807da2b2957 SHA512 c68dc6e2893d2749d6ec3a74b850979f0766ac65c34bf07af3c0f1a16874e44f5102e1d036a88a7a43f51a44d3fffd65babf67373982362b034a2410124d4aad
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DIST aesara-rel-2.7.6.gh.tar.gz 7917317 BLAKE2B 21f801bebfe207586482b7eddb2fb1a2d812cb7c9bb28f2a7bc96543dabbe7ea7aa16781636d9e52d8abd389c8c148b3ae16696214d2914b702bb9dce114f149 SHA512 719d6ded6a058b739b3f2dcd734ef785b05eb07dec152c523d2ace7c5e9dd05d1550113f10e114b63b72d3a697900763c6f1e753db9c8d01a6c877fc5d3c2732
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DIST aesara-rel-2.7.7.gh.tar.gz 7918070 BLAKE2B 70a48fdeac8be6c070850294101aa379652f26c2ff7c9723232d6aea31b3aa52675299c2f85fb6e1b5a4c5dfc020f12d72bf1e8b5ddc1d487e750c2ad7583d8c SHA512 2a1e4488aab1dbef71537871cc9a2060d4e760a1b4dfc74ed1d4d2b2acf6a030c4ee27c9f464934219630eaffde4431571a4424bf27f6ee53a80b7bfc1fdfa2b
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DIST aesara-rel-2.7.8.gh.tar.gz 7918625 BLAKE2B 89f600e6b053526b8a214246746138066e2937633e132e68eef52e5dffa33509d4eee48f513077128e865f265a4e4b0ebe727dce5ed699c3f445b6850966c3c5 SHA512 33d57a5679480176cd814f6f5a36dc83ab0fe5f704a60ced2beceb10a4684bba7464f0d9473adc65541b755d3a5850af61d5ac8d8303f31d9c6718109ee331e1
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96
dev-python/aesara/aesara-2.7.8.ebuild
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96
dev-python/aesara/aesara-2.7.8.ebuild
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@ -0,0 +1,96 @@
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# Copyright 2021-2022 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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DISTUTILS_USE_PEP517=setuptools
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PYTHON_COMPAT=( python3_{8..10} )
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inherit distutils-r1 multiprocessing optfeature
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MY_P=aesara-rel-${PV}
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DESCRIPTION="Library for operating on mathematical expressions with multi-dimensional arrays"
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HOMEPAGE="
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https://github.com/aesara-devs/aesara/
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https://pypi.org/project/aesara/
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"
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SRC_URI="
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https://github.com/aesara-devs/aesara/archive/rel-${PV}.tar.gz
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-> ${MY_P}.gh.tar.gz
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"
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S=${WORKDIR}/${MY_P}
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LICENSE="BSD"
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SLOT="0"
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KEYWORDS="~amd64 ~arm ~arm64 ~riscv ~x86"
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RDEPEND="
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dev-python/cons[${PYTHON_USEDEP}]
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dev-python/etuples[${PYTHON_USEDEP}]
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dev-python/logical-unification[${PYTHON_USEDEP}]
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dev-python/minikanren[${PYTHON_USEDEP}]
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dev-python/filelock[${PYTHON_USEDEP}]
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<dev-python/numpy-1.23[${PYTHON_USEDEP}]
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dev-python/six[${PYTHON_USEDEP}]
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dev-python/scipy[${PYTHON_USEDEP}]
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>=dev-python/setuptools-45[${PYTHON_USEDEP}]
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dev-python/typing-extensions[${PYTHON_USEDEP}]
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"
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BDEPEND="
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test? (
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dev-python/pytest-xdist[${PYTHON_USEDEP}]
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)
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"
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PATCHES=(
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"${FILESDIR}"/aesara-2.6.5-compiledir-tid.patch
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)
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distutils_enable_sphinx doc 'dev-python/sphinx_rtd_theme'
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distutils_enable_tests pytest
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python_test() {
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local EPYTEST_DESELECT=(
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# speed tests are unreliable
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tests/scan/test_basic.py::test_speed
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tests/scan/test_basic.py::test_speed_rnn
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tests/scan/test_basic.py::test_speed_batchrnn
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tests/link/test_vm.py::test_speed
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tests/link/test_vm.py::test_speed_lazy
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tests/tensor/test_gc.py::test_merge_opt_runtime
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# rounding problem?
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# https://github.com/aesara-devs/aesara/issues/477
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tests/tensor/test_math_scipy.py::TestGammaUBroadcast::test_good
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tests/tensor/test_math_scipy.py::TestGammaUInplaceBroadcast::test_good
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# dunno
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'tests/tensor/test_elemwise.py::TestDimShuffle::test_memory_leak[False]'
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)
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local EPYTEST_IGNORE=(
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# we do not package numba
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tests/link/test_numba.py
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tests/link/test_numba_performance.py
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# ..or jax
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tests/link/test_jax.py
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)
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local -x PYTEST_DISABLE_PLUGIN_AUTOLOAD=1
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local -x AESARA_FLAGS="cxx=${CXX}"
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AESARA_FLAGS+=",config.gcc__cxxflags=\"${CXXFLAGS}\""
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AESARA_FLAGS+=',compiledir_format="compiledir_%(thread_id)s"'
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epytest -p xdist.plugin -n "$(makeopts_jobs)"
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# clean up the compiledir, as it can grow pretty large
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rm -r "${HOME}"/.aesara || die
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}
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python_compile() {
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distutils-r1_python_compile
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rm "${BUILD_DIR}/install$(python_get_sitedir)/bin/__init__.py" || die
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}
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pkg_postinst() {
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optfeature "GPU code generation/execution on NVIDIA gpus" dev-util/nvidia-cuda-toolkit dev-util/nvidia-cuda-sdk
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optfeature "GPU/CPU code generation on CUDA and OpenCL devices" dev-libs/libgpuarray dev-python/pycuda
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}
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