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authorV3n3RiX <venerix@redcorelinux.org>2018-04-28 20:02:04 +0100
committerV3n3RiX <venerix@redcorelinux.org>2018-04-28 20:02:04 +0100
commita4e2a46beb5e4858ef27bdedbb0ff6d2ced430ad (patch)
tree852c90a4bf354c30ea66504f70bfab5401fba18d /metadata/md5-cache/dev-python/pycuda-2016.1.2
parent5e8702bcbbed438e6c6cce023e7ef0cc9baa3e02 (diff)
gentoo resync : 28.04.2018
Diffstat (limited to 'metadata/md5-cache/dev-python/pycuda-2016.1.2')
-rw-r--r--metadata/md5-cache/dev-python/pycuda-2016.1.26
1 files changed, 3 insertions, 3 deletions
diff --git a/metadata/md5-cache/dev-python/pycuda-2016.1.2 b/metadata/md5-cache/dev-python/pycuda-2016.1.2
index a7c8c72e3ecb..866788c2b54d 100644
--- a/metadata/md5-cache/dev-python/pycuda-2016.1.2
+++ b/metadata/md5-cache/dev-python/pycuda-2016.1.2
@@ -2,7 +2,7 @@ DEFINED_PHASES=compile configure install prepare test
DEPEND=dev-libs/boost:=[python,python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-)] dev-python/decorator[python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-)] dev-python/mako[python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-)] dev-python/numpy[python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-)] >=dev-python/pytools-2013[python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-)] dev-util/nvidia-cuda-toolkit x11-drivers/nvidia-drivers opengl? ( virtual/opengl ) test? ( dev-python/mako[python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-)] dev-python/pytest[python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-)] ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) python_targets_python3_4? ( dev-lang/python:3.4 ) python_targets_python3_5? ( dev-lang/python:3.5 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-)]
DESCRIPTION=Python wrapper for NVIDIA CUDA
EAPI=6
-HOMEPAGE=http://mathema.tician.de/software/pycuda/ https://pypi.org/project/pycuda
+HOMEPAGE=http://mathema.tician.de/software/pycuda/ https://pypi.org/project/pycuda/
IUSE=examples opengl test python_targets_python2_7 python_targets_python3_4 python_targets_python3_5
KEYWORDS=~amd64
LICENSE=GPL-2
@@ -11,5 +11,5 @@ REQUIRED_USE=|| ( python_targets_python2_7 python_targets_python3_4 python_targe
RESTRICT=userpriv
SLOT=0
SRC_URI=mirror://pypi/p/pycuda/pycuda-2016.1.2.tar.gz
-_eclasses_=cuda 626969678b9c5735753d8a380c6f295b desktop 2ccd1dd1dd7bfb8795eea024a4f91bb6 distutils-r1 c25bafd988acc946bfa457eac09621d8 epatch 8233751dc5105a6ae8fcd86ce2bb0247 estack 43ddf5aaffa7a8d0482df54d25a66a1f eutils 63392afb034aad67f17fa129019eb4d9 flag-o-matic 5128c4729303400bd8d4b0b966530955 ltprune 2770eed66a9b8ef944714cd0e968182e multibuild 72647e255187a1fadc81097b3657e5c3 multilib 97f470f374f2e94ccab04a2fb21d811e multiprocessing cac3169468f893670dac3e7cb940e045 preserve-libs ef207dc62baddfddfd39a164d9797648 python-r1 e9350ec46bb5c9f3504b4fbe8b8d8987 python-utils-r1 c9de01becf9df3f8c10aeec3dc693f5d toolchain-funcs 885c7d8dd70a58825f3d17e35a3cd1e9 vcs-clean 2a0f74a496fa2b1552c4f3398258b7bf versionator ce21313503c41896ebcd7d58b0607e37 xdg-utils f2c8335407f0b935b0a96d4adf23ef25
-_md5_=bee339b2c2d0b002f86dfaabdb22c765
+_eclasses_=cuda 626969678b9c5735753d8a380c6f295b desktop 2ccd1dd1dd7bfb8795eea024a4f91bb6 distutils-r1 c25bafd988acc946bfa457eac09621d8 epatch 9a5f039771f143195164a15a4faa41a1 estack 43ddf5aaffa7a8d0482df54d25a66a1f eutils 63392afb034aad67f17fa129019eb4d9 flag-o-matic 5128c4729303400bd8d4b0b966530955 ltprune 607e058da37aa6dabfa408b7d61da72e multibuild 72647e255187a1fadc81097b3657e5c3 multilib 97f470f374f2e94ccab04a2fb21d811e multiprocessing cac3169468f893670dac3e7cb940e045 preserve-libs ef207dc62baddfddfd39a164d9797648 python-r1 e9350ec46bb5c9f3504b4fbe8b8d8987 python-utils-r1 c9de01becf9df3f8c10aeec3dc693f5d toolchain-funcs 885c7d8dd70a58825f3d17e35a3cd1e9 vcs-clean 2a0f74a496fa2b1552c4f3398258b7bf versionator 26ca8a8bd95d6a74122c08ba98a4ee72 xdg-utils f2c8335407f0b935b0a96d4adf23ef25
+_md5_=553fa59a41ba8bb192c0933f8284de41