Result for 4EF4ADCC6E4220EFE21307798BDCFF45E7722ABD

Query result

Key Value
FileSize315604
MD56D7EDAD4A85900295C8656C15C55898B
PackageDescriptionPython 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.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamepython-pycuda
PackageSectioncontrib/python
PackageVersion2018.1.1-3
SHA-14EF4ADCC6E4220EFE21307798BDCFF45E7722ABD
SHA-256A84B96264AAFE4114348062D6CA1C01661D2B1C3079FA0EBFD6981F3A0794D5A
hashlookup:children-total39
hashlookup:trust50

Network graph view

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/_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/share/doc/python3-pycuda/copyright
FileSize5734
MD50EEC91828ED9CA9BD1C286AE4EC7EB6D
SHA-1258A1F909404A1C4E791E95DC3168999F8DE75A1
SHA-25689E05069A97117CC3B710B9C50F972744CF4BF515EB59174CFD9D024BA2C2D4A
SSDEEP96:Z+4Tvm+/WlyNl4reeVTG8NvP/4YV04gPzHFcVFqpk4XVOP+4KQHLog:ZB++zNOr/c8NvPV0DPzHa0W4XUKQHLF
TLSHT105C1C62E73400B7216E127E23FA6A4CEB34FB55AF7379AC5B45CC14D173A429817B5A0
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/lib/python3/dist-packages/pycuda/autoinit.py
FileSize420
MD522C76262EDD9A52119E475117493FD81
SHA-13C7EA5EFD2669FB548F53DF260F7C130FA649D32
SHA-256F9069FAD22D751B4C2E1D1D95F1A72EA51548278D2A987B9DB6E5D0CF7A63A48
SSDEEP6:1RMABCRRQaHqFxmU3CvfgYuQfHH9a9Ce9/MH9G2QUwQLIuQqvqkE1YuQ2qJq2GSV:1RjCvpQQPHkyHuQ2yMfEyDc0sX
TLSHT1B9E0E53AA077991FB372A8CE4687A22617F1990BEB08E0F435DA429D87D2579C0C9318
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/gl/autoinit.py
FileSize330
MD5D53C3C12F73FCB88F09960C9DB9DBA84
SHA-1447DC3F425E94D588692BCCCE062205A10C018E7
SHA-256C422227706D720F36B9B346B15BD1FBC0751C54D50B5483D932EEA41D41B1342
SSDEEP6:1RMABCRRQaHqOGbOhACTB7XIgYuQfHH9e9/MH9U43D6JqSn2Qin0N0V:1RjCve4B7XIQQPHvHCo6JjY0w
TLSHT1EDE0863B6423EA2A7B22785D5685502913F26A1AEB08D4F111EF016D57C6637D58C314
tar:gnameroot
tar:unameroot