Result for B4A73C073681192B27DE5204D40A99A56791BB5A

Query result

Key Value
FileSize306652
MD50D02A0D38CB8E00C5E9811DD3FDE9D21
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pycuda
PackageSectioncontrib/python
PackageVersion2016.1-1
SHA-1B4A73C073681192B27DE5204D40A99A56791BB5A
SHA-256B1BA37F8A1BCB6CE3367EAE8F4DE5C61046FAB21795F35988D35BAD4A52A403B
hashlookup:children-total38
hashlookup:trust50

Network graph view

Children (Total: 38)

The searched file hash includes 38 children files known and seen by metalookup. A sample is included below:

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/python2.7/dist-packages/pycuda/scan.py
FileSize13143
MD5F80DA9337920E7E90672467A98B2A05A
SHA-10D16D730CEDBDB639AEEBC7C6402743FAA2CD05C
SHA-25688C35D7A3C80B20C0A0C115A595073AB1193082810EF471B495E3DE7D0723D8F
SSDEEP384:l3+54lY7pm555DQh6ZPpsI2TSZNe753A+2:lrlih6ZPpsTTSZI53A+2
TLSHT1A642773A3B1350566A6311B92BCE20013109E54726CE6D947B1D43B01FAB52BF7BEBDD
Key Value
FileName./usr/share/doc/python-pycuda/changelog.Debian.gz
FileSize1341
MD5BB1056290C129683E143C2B0294EBDEB
SHA-11BC6FC8FE63C1FD73A84F485E1F46AB21895BFA0
SHA-2564B840941007984147DE50D74E8F4E0330C1CDD9A5F610221C17D502394536253
SSDEEP24:XcSChxPlC4L1vGceyml6PI0OVV0fhXYJcf/OuU0nhF13o3TL5Jrg1oYC6c+jUyqN:XcVNtptaR0o0hK+/dnlqL3zY+yqOyn
TLSHT15321B6E2E693215365CC57AD4826F9BA0B0FA49504D07D69C2D04B944050AD349D7B38
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/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/sparse/pkt_build.py
FileSize2751
MD50E0AAF0C51912CDB118236966EF76772
SHA-1271AD2B2CA967F5E0E8F0BE63989B6E597A08387
SHA-256D5D58D3E7F3178A150CA960D7A6331B8043ED5F3EA7BF3249039CD8E1298C579
SSDEEP48:PGVbX3Ez0iE004Wn+o4IJISTzgcFdbrULeYgr+rAbbkS6v8cFsyV4IbINWItEvme:+VbX3Ez0iE004Wn+NISSTzvnr47drAb0
TLSHT12251CE1E461F65DDB6F7AD7404BC5B4261372A5B4D806100F75DCC204F9E2B4F22AD60
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/cuda/pycuda-helpers.hpp
FileSize8854
MD5D8F7EA12B33CDD4CAF19B44F419DA411
SHA-13E227677B2FC94FCEECFBC10A2418F71679F2200
SHA-256409FAFCA538B782ABF04816AE93F2C43C10B9889DCC59816B331A3B992353023
SSDEEP192:vdN3RKRSlRRUzI1pZT0Ij6CD2zMrZBw2gr4BEWpKYPm:BwS2
TLSHT16102F43C95AA7C0B3A23C27B5B9B0805DFA6D3D144D5FA3624DD66341D0E2CD99AC8F2