Result for 04E0D8145D3810F0F28BAB86ADB02E7BFD9A6F8B

Query result

Key	Value
FileSize	290830
MD5	ECD3EFCFE4F75515834707D724A8BE41
PackageDescription	Python 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.
PackageMaintainer	Tomasz Rybak <tomasz.rybak@post.pl>
PackageName	python-pycuda
PackageSection	contrib/python
PackageVersion	2014.1-3
SHA-1	04E0D8145D3810F0F28BAB86ADB02E7BFD9A6F8B
SHA-256	FD0D0950BAE13D67BB17FE667E05609102B44E4B21B78C42D964C0DF4956F9D6
hashlookup:children-total	39
hashlookup:trust	50

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/sparse/operator.py
FileSize	889
MD5	286884C9066246FEBC7E00E624AAFFDC
SHA-1	09B48DBE9393243ADB186FEBEA4EBD5AF87BE1BB
SHA-256	E0A7BE87F22A21907D277CDD6161821464E6E134D0B0B0E84D2C0BC5F499EB53
SSDEEP	12:2yEJfnxqfnx+7p1AP4w9i9toEiVhRgdJ1Q0JGp1A38RF9h99i+MYRiV99C5:2yEJPxqPxWTAP4XiLRErGTAtIia
TLSH	T172112F596B8BD029A647C7398092F543D20D1E078D2C2CA5B2FC7160EF66F20D6C8EF0
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/cuda/pycuda-complex.hpp
FileSize	21885
MD5	D42CF3B70DF712811157652A92607048
SHA-1	171DBC3BBC0BEA63B48A5CEC6277D0E4BA7FBAE9
SHA-256	CE54CDC00B1A02FC87C1C7D4CD9306240747D96367865DCB33E09567A40010AE
SSDEEP	384:Z2gkeva0Oep7keXJwYceGvlMAxAVOjwrJcjwrJcrnvSJDX9qaHrCakKUt0u+wPE:Z2gkevJOep7keXJwYceGvljaJxqa+akU
TLSH	T12AA2130C24BBF85311A766639E8B50A0B345A122B714DBF1BE2CD394EF53524F26D2DE

Key	Value
FileName	./usr/lib/python2.7/dist-packages/pycuda/tools.py
FileSize	14112
MD5	92732B3540160302C47CBDAC58F0F04F
SHA-1	1C2661FF3DC2F5D4580BA49DB78CF8F22A35AD4D
SHA-256	77E89D855530F02C3119D8FE695DF90FE7F067CD499EA7722F68928011744D89
SSDEEP	384:McCWF0htPbfU+aQDStfxU1VHTZVVJfGa+:ZBF0TbfU+aiStfxU1h/VJfGa+
TLSH	T12E52A55E3442A022A343C96D4DC3F003A36BAE57994C39B4F8ECA1643F85665D1F9FE9

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda-2014.1.egg-info/PKG-INFO
FileSize	2880
MD5	ABC39B4ECDA5A3E2DFD2EBF06DD8F23B
SHA-1	1C7D4DD1820FE173AC953A325B16B34C881A8608
SHA-256	2CE2ED2D82FD146B0185FE8310BA12BAC510AFFA7426BF0D544521EC9E58F654
SSDEEP	48:D2mcKTbvyXdZ3V0y7E7nc/eYKpNRVQDOAV2RMrWMHbs4+awiaD+Uerm:D2HYvWddc8KnRqDgMHQDajaD+Uerm
TLSH	T16751444110C09EE05B62CF8693618B458B644693D7AD189DB8FD1A1D7F71B73E23D13C

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/cuda/pycuda-helpers.hpp
FileSize	2589
MD5	A008DAAB16A2AF8B0600F0AA21AB9C8A
SHA-1	1D6D7C5CB8357F357D1E0FE2BF921BE6FB07AACC
SHA-256	00D0499FBFBC463615896CF066ECC68D0139CE01D5E4291C051AB99EB38E3FFE
SSDEEP	24:RR0exeHd+/r1cGc+1ZF5dNZH9ZQkRJZQJQW+RJZQ3YRxnZlkUonZ2iQWUeUdBZJ8:j0exeHU/UclnN9VRJvRJFRNJ0l2Hc1R
TLSH	T10051AF6CBCFAFC474D63C1AAABC54401E64EC3E14D96FEB6819D93311D41285EABC4D2

Key	Value
FileName	./usr/lib/python2.7/dist-packages/pycuda/sparse/cg.py
FileSize	7451
MD5	E64F0E56D5CED6617675588E22F94A44
SHA-1	1D753B3484BCE0388CBEB7B2D56612B4B1BE8F75
SHA-256	6536508674C44DCA1DD0A6AE43BE777C20E16400ED21D4962F035673747FB58A
SSDEEP	192:eHEatt8tRomudD1l769eGFDPFVdNpr9g0pQpnF5sPix29Ou:ekOt8tRjOD1d69eUB9IFZx4
TLSH	T10CF145A18DA74C256717EA5BA4C6B403261C2B0BAF0D18B176FCE5547F05320E3A6FF5

Key	Value
FileName	./usr/lib/python2.7/dist-packages/pycuda/compyte/dtypes.py
FileSize	7855
MD5	3C9781FE914F5F5DA13E43262AD3FEB9
SHA-1	1FBAD0DC0B75156318A062A7BD93E8D66CFA6EBF
SHA-256	BAB6A03D030F697EC8895688C3F70AFB4B33CAFBF9296B9BC298D7E3A2DC3622
SSDEEP	192:jQH5nxOCkzRJAoxF7MEShX8+Pop0ivxZkqODZLACfn/pA7bsA9aVbssf:jcU7/GMVwrJjiM
TLSH	T122F1964B560098239793843F4E66F482A317BB8F658438747AECB1B96F52328C3F579C

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/cuda/pycuda-complex-impl.hpp
FileSize	11542
MD5	524D82533E97C9C12986D738A85EF70D
SHA-1	25D051E148BBDCD95344B3BBF8CFDA1EE560658C
SHA-256	A2196178BF8D5AF5AE91DD7BF13FFEC95CCCBEFFE86814E46B14F9298C679290
SSDEEP	192:ZSZjKwulBlBlpl7dsTeDb3m0Xz5DQonc7w3++RRSgBLLLjNXgg+NuQuorOzzWvTd:Z2ilBlBlpljb5h7XjLo/
TLSH	T1AC32885C3C99F0B70673D4A25E47D190E2093265BB04EBA9B91DC2949F53314E22E6EF
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib/python2.7/dist-packages/pycuda/reduction.py
FileSize	13905
MD5	03773AEB0327B9E3DB57A055E8884949
SHA-1	3778DB52D533927C47480EC91EF5CADD77076DC5
SHA-256	2E109C32D676A0E2EC56378646F553F02BD703CCD385CA1897DD4FBBA1D4D1BD
SSDEEP	384:eczccA5HL5oXXczXcXXcscXcFXclXcNAE2pGrOy2AY0A2FDie0qGiCI/YYGtwYYQ:zlA5H02pGrOy2AY0A2FDie0qGiCI/YYu
TLSH	T1B752C69658556CF143D38CFC6A9670426662E70B194435A03DACE3AC3F2923FA1F3BC8

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/autoinit.py
FileSize	381
MD5	E5392064CB6D68A4B27338431AC83EBE
SHA-1	399B87DBDC47EF887470344DAC637E712C0D0CF2
SHA-256	3643B4B0E4B4D0805BE3F56D355DF3C95EB6E224804488FB8D01F166F4F49627
SSDEEP	6:qaHqFxmU3CvfgYuQfHH9a9Ce9/MH9G2QUwQLIuQqvqkE1YuQ2qJq2GSo/fEqJq2k:dpQQPHkyHuQ2yMfEyDc0sX
TLSH	T185E0223AA07B981BB322688E0687E21617E1E90BEB08E0B025C6019E87C2179C0C9318