Result for 5B6B1750FCBE9A57B1F6EB243119376976F12806

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Children (39)

Query result

Key Value
FileSize319636
MD512B0F72FA0DD4D4F5917C93FDDB849FD
PackageDescriptionPython 3 module to access Nvidia‘s CUDA parallel computation API PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains Python 3 modules.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pycuda
PackageSectioncontrib/python
PackageVersion2018.1.1-4build3
SHA-15B6B1750FCBE9A57B1F6EB243119376976F12806
SHA-256825FD1875E492CEDCD406277A8604BECFE0D7918A2B860445F76084BF5F6DD38
hashlookup:children-total39
hashlookup:trust50

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Children (Total: 39)

The searched file hash includes 39 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3/dist-packages/pycuda/cuda/pycuda-helpers.hpp
FileSize10070
MD54C8D1D1BEBC1478587E87CAAB270CD6D
SHA-10567F1CA0F8F03418B683AB8EC6B90B1FD98431A
SHA-256DE0698D5369F896587A451FE8E05ACE2DF22530F60C9C8B09B733A12F086BE0A
SSDEEP192:v9N3RKRSlDRr6RRUzI1pZT0Ij6CD2zMrZBw2gnBr4BEWpKYPm:xwwkO
TLSHT19422F33C51AA7C0B6A63C27B9B9A0805DFA6C3D144C6FA3664DC66341D4D2CD99EC8F3
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/sparse/operator.py
FileSize889
MD5286884C9066246FEBC7E00E624AAFFDC
SHA-109B48DBE9393243ADB186FEBEA4EBD5AF87BE1BB
SHA-256E0A7BE87F22A21907D277CDD6161821464E6E134D0B0B0E84D2C0BC5F499EB53
SSDEEP12:2yEJfnxqfnx+7p1AP4w9i9toEiVhRgdJ1Q0JGp1A38RF9h99i+MYRiV99C5:2yEJPxqPxWTAP4XiLRErGTAtIia
TLSHT172112F596B8BD029A647C7398092F543D20D1E078D2C2CA5B2FC7160EF66F20D6C8EF0
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/_pvt_struct.cpython-38-x86_64-linux-gnu.so
FileSize41232
MD59B1EA615697F5F592AFA56CAFF376178
SHA-11C9F3D504ACEDA5B2CFBBE9EA2B2BE22A4702781
SHA-25602593EC2197E2C8D1DC4618AB0CE65254E75728B4B72748E8170661DC8107D89
SSDEEP768:+CUAeKleWum+2OGeWum+2OGeWum+2OGeWum+2OGJxZBpR5hJxZBpR5hJxZBpR5hX:+i+s/jN
TLSHT1AE03C94FF5A0C87EC5E4D430CDCB99621A20F0106270197B6A84A77D19F6A349BBFEB4
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/_mymako.py
FileSize611
MD5CE517F9ED562FF82E3FB54B4FD42DD11
SHA-121937F03AFB4F84335266490905BFAD5E34DAB6B
SHA-2568B8D588E5CB1E2C3EC0F421B633B16E0A65938A72492BFE3572FDA2CA36E1CF8
SSDEEP12:1RjCBxVHeRwk5Cz3sPPKq+eYwjQPfazID8wEgZILIVDwgM6uK/l:1R2IwqCz3sPSqJY/33DfEmILIJ9Ht
TLSHT151F05911C5128BF0269C82DC085A52B29B251C435B7284D434CF47AC3F579687E3EB48
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/scan.py
FileSize12986
MD5DBC05853DFE78EE4793718CA9C7FC649
SHA-124B273A276CA3DC07447DAAB764178ADBDC2A92B
SHA-2564BBFC7387A1C710E27E32DDDF5D2CE6DC9703710C83DFDAFFF2501A517FFDB04
SSDEEP192:l33Hk9HDeSsuzC6Gfzt4nY46pm555DQhXUwrNTRS4NdmNCIAmQ2SxhoPz7tq3I20:l3klY7pm555DQh6ZP7sI2TSZNe753A+2
TLSHT12342673A3B1350565A6351B92BCE20023109E54726CBAD943B1D43B01FAB52BF7BEBDD
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/cuda/pycuda-complex-impl.hpp
FileSize11542
MD5524D82533E97C9C12986D738A85EF70D
SHA-125D051E148BBDCD95344B3BBF8CFDA1EE560658C
SHA-256A2196178BF8D5AF5AE91DD7BF13FFEC95CCCBEFFE86814E46B14F9298C679290
SSDEEP192:ZSZjKwulBlBlpl7dsTeDb3m0Xz5DQonc7w3++RRSgBLLLjNXgg+NuQuorOzzWvTd:Z2ilBlBlpljb5h7XjLo/
TLSHT1AC32885C3C99F0B70673D4A25E47D190E2093265BB04EBA9B91DC2949F53314E22E6EF
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/cumath.py
FileSize4557
MD5A56B6EB7BC7964A8A379E26D7C1D9874
SHA-1288E993BA3DB2B4F32C8C8DD4EDED61B87CE27C3
SHA-2564C722FE8C7059AF96ABBA2220CC2BDC30BEF48CB9CB3DAA848749D62ABEE8535
SSDEEP96:kjWMmuBf02WyMV6P4o9EMJO54Q7DmqASX43M4NSmzuADmZGV43446pv:klf0qHP4MDc5vDGSXNvqPDZhZv
TLSHT1769133AE2F8256BCA6CA358D08AA08C363D0E137324014F57B5F6E991F2151DF7B51AC
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/share/doc/python3-pycuda/NEWS.Debian.gz
FileSize379
MD57DC3E7424D573812394232C6673F9952
SHA-12C52707ACE992C67397C883EDA1EC8565280DAD1
SHA-256DF8D2D4FBA6158CC9FCC9C9BD1EFA340C092EEAAF43A016A1022C6FA7962F932
SSDEEP6:XtB2ahXFvALtZbXItAK4srKUBDa9ec6QotKbYVBMGpuDzmuCqm2LnAUrn:X/otk66c6RtRomtqm+Aq
TLSHT107E0F8002D8C8F3BA2072AAAE82E82039EA8F9A120B2AC4314389CB0294931902C8120
Key Value
FileName./usr/share/doc/python3-pycuda/copyright
FileSize5740
MD5CC9E81C9C47A5D8EFCE8A31ECB4FD21B
SHA-12F7C5A7B48F568ECFBA4A4306C4F0AA132DB31B7
SHA-2566717A83557E2AB544A0CD9F8FEBF09F493D3E515E152D7E6ECABBE4CA7595CB4
SSDEEP96:Z+4Tvm+/WlyNl4reeVTG8NvP/4YV04gPzHFcVFqpk4XVOP+4KQHLog:Zh++zNOr/c8NvPV0DPzHa0W4XkKQHLF
TLSHT121C1C62E734007721AE127E23FA6A4CEB34FB15AF7779AC5B45CC14D173A429827B5A0
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/autoinit.py
FileSize420
MD522C76262EDD9A52119E475117493FD81
SHA-13C7EA5EFD2669FB548F53DF260F7C130FA649D32
SHA-256F9069FAD22D751B4C2E1D1D95F1A72EA51548278D2A987B9DB6E5D0CF7A63A48
SSDEEP6:1RMABCRRQaHqFxmU3CvfgYuQfHH9a9Ce9/MH9G2QUwQLIuQqvqkE1YuQ2qJq2GSV:1RjCvpQQPHkyHuQ2yMfEyDc0sX
TLSHT1B9E0E53AA077991FB372A8CE4687A22617F1990BEB08E0F435DA429D87D2579C0C9318
tar:gnameroot
tar:unameroot





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