metadata/md5-cache/dev-python/pycuda-2017.1


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DEFINED_PHASES=compile configure install prepare test
DEPEND=dev-libs/boost:=[python,python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-python/decorator[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-python/mako[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-python/numpy[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] >=dev-python/pytools-2013[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-util/nvidia-cuda-toolkit x11-drivers/nvidia-drivers opengl? ( virtual/opengl ) test? ( dev-python/mako[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-python/pytest[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] ) python_targets_python3_6? ( dev-lang/python:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-python/setuptools[python_targets_python3_6(-)?,-python_single_target_python3_6(-)]
DESCRIPTION=Python wrapper for NVIDIA CUDA
EAPI=6
HOMEPAGE=https://mathema.tician.de/software/pycuda/ https://pypi.org/project/pycuda/
IUSE=examples opengl test python_targets_python3_6
KEYWORDS=~amd64
LICENSE=GPL-2
RDEPEND=dev-libs/boost:=[python,python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-python/decorator[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-python/mako[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-python/numpy[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] >=dev-python/pytools-2013[python_targets_python3_6(-)?,-python_single_target_python3_6(-)] dev-util/nvidia-cuda-toolkit x11-drivers/nvidia-drivers opengl? ( virtual/opengl ) python_targets_python3_6? ( dev-lang/python:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python3_6(-)?,-python_single_target_python3_6(-)]
REQUIRED_USE=|| ( python_targets_python3_6 )
RESTRICT=userpriv !test? ( test )
SLOT=0
SRC_URI=mirror://pypi/p/pycuda/pycuda-2017.1.tar.gz
_eclasses_=cuda	bb861e5221b7272ac90c2f12791c1e66	desktop	b1d22ac8bdd4679ab79c71aca235009d	distutils-r1	8949c8eeeed20bdb6e141ffa11a56ec9	eapi7-ver	f9ec87e93172b25ce65a85303dc06964	epatch	ed88001f77c6dd0d5f09e45c1a5b480e	estack	686eaab303305a908fd57b2fd7617800	eutils	fcb2aa98e1948b835b5ae66ca52868c5	flag-o-matic	3719195b17f75382c225c2155e81198c	ltprune	2729691420b6deeda2a90b1f1183fb55	multibuild	40fe59465edacd730c644ec2bc197809	multilib	1d91b03d42ab6308b5f4f6b598ed110e	multiprocessing	cac3169468f893670dac3e7cb940e045	preserve-libs	ef207dc62baddfddfd39a164d9797648	python-r1	4dfa39908a2b26ac08e45ca546f7c9b6	python-utils-r1	3ab704558125f1813be1cc37ed9e2667	toolchain-funcs	512eb3367f507ebaa1d1d43ab7d66e6c	vcs-clean	2a0f74a496fa2b1552c4f3398258b7bf	xdg-utils	ff2ff954e6b17929574eee4efc5152ba
_md5_=02660ebbe23d43152e8d48211528e800