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dev-python/pycuda: version bump
Package-Manager: Portage-2.3.6, Repoman-2.3.3
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@@ -2,3 +2,4 @@ DIST pycuda-2012.1.tar.gz 1473695 SHA256 d5b90467b926c73ceaf2dd2662fef2e21e106f0
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DIST pycuda-2013.1.1.tar.gz 1586425 SHA256 4b541ff7ab4a867e9389b3b9b9456c6957000f39a20a46e872dd25dd3bece2da SHA512 7a7e95fcd4f76d10234558021064cc299e6d93ab9a428c9560e5a8a73b13304ba9ccc3c103674a25effdc01a14aac21981a62de881a9c990ad16d7689b75e502 WHIRLPOOL c1e958defbe4998c0af5a256df51daa3901f0bf2a45e5c5faed9abf5ba60ebd0dddab6fbb4caff41eac588fe7fc3cca1517c032d95d316492f99c307b6a260f3
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DIST pycuda-2014.1.tar.gz 1588986 SHA256 28e8f7425d0bac03a6c80346a4e150024ef0e4740ce11cb54e6aef351127d7af SHA512 57e333941c472feea6974e583f9d27f7f5083011bd8a7cc0bc31d27032885a130f1f57a16b0730696c607b9dca32ad84b96c984cd82351800ec854acdfa8fe9f WHIRLPOOL c71876c6f203a0a8a996a90976ad3f012ce1497ee84534c7fb8876e19293766d4641fbac00a538b1ddb074b29f8d8347f39caae613839b38cf5ee9eb15a86c09
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DIST pycuda-2016.1.2.tar.gz 1603373 SHA256 a7dbdac7e2f0c0d2ad98f5f281d5a9d29d6673b3c20210e261b96e9a2d0b6e37 SHA512 7a1a9d6723651bdc6f584de884c46bbaa17970e622b4d800c7f36ff57817807a51c7e4aa0a40872e46fc1243087af6dda07489bb60b6a33f52740a4d7a9e69a7 WHIRLPOOL f1c169d0bac25f625aa6609bf06fdc7fadce00fd291d27113b9ae92995801cfc2361cfb254bec836c2547ff4b96498c945f73a0ed76032b382e13f315222e711
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DIST pycuda-2017.1.tar.gz 1608187 SHA256 a92725ccd8515b4d7284b9127184b6fdb61f224daa086e7fc6b926e2094b055f SHA512 ce3de28de613352bec4efb86ffaa055f92ccd0c758b903aecc60af5b84f0f0643d04a869d6a23ce329c3d33670cfb266ad69c784ba917a190a11bdfea1fe6690 WHIRLPOOL 47ca3e88007315f67b7147cf534f0c91e979f4c5fdcad28742a51f2062390509fcfeac8696a049557c2a37b659430ad3d148a607b5e0c8da6fc4a71f4bc54fa7
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82
dev-python/pycuda/pycuda-2017.1.ebuild
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82
dev-python/pycuda/pycuda-2017.1.ebuild
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@@ -0,0 +1,82 @@
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# Copyright 1999-2017 Gentoo Foundation
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# Distributed under the terms of the GNU General Public License v2
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EAPI=6
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PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
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inherit cuda distutils-r1
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DESCRIPTION="Python wrapper for NVIDIA CUDA"
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HOMEPAGE="http://mathema.tician.de/software/pycuda"
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SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
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LICENSE="GPL-2"
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SLOT="0"
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KEYWORDS="~amd64"
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IUSE="examples opengl test"
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RDEPEND="
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dev-libs/boost:=[python,${PYTHON_USEDEP}]
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dev-python/decorator[${PYTHON_USEDEP}]
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dev-python/mako[${PYTHON_USEDEP}]
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dev-python/numpy[${PYTHON_USEDEP}]
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>=dev-python/pytools-2013[${PYTHON_USEDEP}]
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dev-util/nvidia-cuda-toolkit
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x11-drivers/nvidia-drivers
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opengl? ( virtual/opengl )"
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DEPEND="${RDEPEND}
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test? (
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dev-python/mako[${PYTHON_USEDEP}]
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dev-python/pytest[${PYTHON_USEDEP}] )"
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# We need write acccess /dev/nvidia0 and /dev/nvidiactl and the portage
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# user is (usually) not in the video group
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RESTRICT="userpriv"
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python_prepare_all() {
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cuda_sanitize
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sed -e "s:'--preprocess':\'--preprocess\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
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-e "s:\"--cubin\":\'--cubin\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
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-e "s:/usr/include/pycuda:${S}/src/cuda:g" \
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-i pycuda/compiler.py || die
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touch siteconf.py || die
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distutils-r1_python_prepare_all
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}
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python_configure() {
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mkdir -p "${BUILD_DIR}" || die
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cd "${BUILD_DIR}" || die
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rm -f ./siteconf.py || die
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"${EPYTHON}" "${S}"/configure.py \
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--boost-inc-dir="${EPREFIX}/usr/include" \
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--boost-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
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--boost-python-libname=boost_python-$(echo ${EPYTHON} | sed 's/python//')-mt \
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--boost-thread-libname=boost_thread-mt \
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--cuda-root="${EPREFIX}/opt/cuda" \
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--cudadrv-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
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--cudart-lib-dir="${EPREFIX}/opt/cuda/$(get_libdir)" \
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--cuda-inc-dir="${EPREFIX}/opt/cuda/include" \
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--no-use-shipped-boost \
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$(usex opengl --cuda-enable-gl "") || die
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}
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src_test() {
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# we need write access to this to run the tests
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addwrite /dev/nvidia0
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addwrite /dev/nvidiactl
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python_test() {
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py.test --debug -v -v -v || die "Tests fail with ${EPYTHON}"
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}
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distutils-r1_src_test
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}
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python_install_all() {
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distutils-r1_python_install_all
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if use examples; then
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dodoc -r examples
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docompress -x /usr/share/doc/${PF}/examples
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fi
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}
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