Result for 365759025B6938D917128F6A5D9A7120493AA77D

Query result

Key	Value
FileSize	286710
MD5	55C4D78828DD6C5D174DFA73AB3A8362
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pycuda
PackageSection	contrib/python
PackageVersion	2013.1.1+git20140310-1ubuntu1
SHA-1	365759025B6938D917128F6A5D9A7120493AA77D
SHA-256	A890F86665FF33AED134EB603581ADD813BAE668D3AB30AEB8A0830AEF2B812E
hashlookup:children-total	30
hashlookup:trust	50

Network graph view

Children (Total: 30)

The searched file hash includes 30 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python2.7/dist-packages/pycuda/compiler.py
FileSize	8274
MD5	0586B6C6FF5C704DFD32C48D69DFF630
SHA-1	06BBFAA30FD2199E0B11644DC49A9DBD4858B924
SHA-256	6AD564A944FF35EBD4F847BA6D9065AFACF6BA3725D9C884CA4D329449933160
SSDEEP	192:XnUFDyfYs9gPq9yrPdwN/eU5p+wCvDQR5o:XUgA5qoPk7+TMR5o
TLSH	T1DF022E1799292961C373D9EDA183802203A9F603EF18547CBCAC93A93F95474E6F75EC

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/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/share/doc/python3-pycuda/copyright
FileSize	6401
MD5	C38B83C72F3C81BE8B1E67BB4AAE330E
SHA-1	37E71FA329A4B6B78C557898E4B431039F40F94D
SHA-256	FEE7606A87A192DDDE05CB462A011617DB9D94C93E1B1A342D89ED74633AF48D
SSDEEP	192:OKQHLnNvPVgKQHLZ++zNOr/c4DPzHre4Xn:nMnNvddMZ+COzRDPfeCn
TLSH	T120D1F92E73500B7216A527E23EE668CDB31FB15AB777AAC0B41CC24D173A429D1BB560

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

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/cuda/pycuda-helpers.hpp
FileSize	2589
MD5	45E55F31F0EEFB305901006F7030D525
SHA-1	4684A2A358EBA7859F8095EA83FA0BAAE265A06F
SHA-256	BB634A16F2F9A57053AB6A6A2D238FF748098E86EC854E74C87A73BD520126CD
SSDEEP	24:RR0exeHd+/r1cGc+1ZF5dNZH9ZQkRJZQJQW+RJZQoQWYRxnZlkUonZ2iQWUeUdBw:j0exeHU/UclnN9VRJvRJgRNJ0l2Hc1R
TLSH	T10151BF6CBCFAFC474D63C1AAABC44401E24EC3E14D96FEB6819D93311D41285EABC4D2

Key	Value
FileName	./usr/lib/python2.7/dist-packages/pycuda/gpuarray.py
FileSize	41544
MD5	8CC1F81BC01B1B8E331FE774D6D5C7FE
SHA-1	48017848241657F42861E1671600A80705BC9C88
SHA-256	5B8660F0DB05FB762A7DFEE3050278AB3D7D9E35357479184DD896AEA2D9EACA
SSDEEP	768:qiSGgCVWjlWJAPWoxUKpjFUSSysfBhdPyQioBfpDdGfETXQhrbovnnfb:VSGgC0RWJAPcKpjFUSSysfBhdPSo5pDb
TLSH	T1801382D26D465896A2C3E51D88D3BC03F3456B1B060C65F579BC6A602F21229B3BCFED

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/_cluda.py
FileSize	601
MD5	D46F505BFBA47175EAE95839270EB167
SHA-1	76A25606572ED214293A59C08B591DAED0561E5E
SHA-256	E2FC78C72823AE93042AFF23C5BEFE73C6B8F67BF78A76C48542140D3D51612F
SSDEEP	12:qucK/4S000dHqIxleHH0Z5XPdhXTAoezTQO8oDdzosAG6:qJnSKdHqIxIHHCPdObBjd0/G6
TLSH	T155F0C2369CF9A1C485353698295E11225213DCF3400D1ECEF1B48C6C5E0F6B44BF44EE
tar:gname	root
tar:uname	root