Result for 8BAFFD3C51E55146A1D420A04E2F4DEA57C0863C

Query result

Key	Value
FileSize	120940
MD5	C11A2D31FECBE0868A8E71B46809B508
PackageDescription	module to access Nvidia‘s CUDA computation API (documentation) 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 HTML documentation and example scripts.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pycuda-doc
PackageSection	contrib/doc
PackageVersion	2016.1-1
SHA-1	8BAFFD3C51E55146A1D420A04E2F4DEA57C0863C
SHA-256	BFC099C7B4E1437D4D4D83206F67E339EB8BB75C1A645039158F17B8C2772062
hashlookup:children-total	55
hashlookup:trust	50

Network graph view

Children (Total: 55)

The searched file hash includes 55 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/share/doc/python-pycuda-doc/html/_static/minus.png
FileSize	173
MD5	02BBD7AD1AC47694F7EE88304A763545
SHA-1	04C1FEF5D7C0441742E07962291034F9A9047519
SHA-256	4AF76AF5430023305C39DEBA5B02DC64445C84D28C92149E4DD8C63606890B9F
SSDEEP	3:yionv//thPl6Jxnz2m2/uDlhlbwerSORgR4ep1f5Dv/WkTadG7EV1h3lH1p:6v/lhP8vzs/6TRGORg7bBCk6G7EbVp
TLSH	T122C080DB47909D3AC15E103100170607D5E35E4E3643150910EA4459027657CD655631

Key	Value
FileName	./usr/share/doc/python-pycuda-doc/html/driver.html
FileSize	224104
MD5	4E753F0BCCB257572EE88683D37343AD
SHA-1	05173C408F64FDB83D8DF0FE6327F08A64E7A232
SHA-256	D94C57FFD6AE1982F59D951ADA8BB1F12939A35A8AA896CF4A50513D94E8DDDD
SSDEEP	1536:UPtmryTshFQby4f/p6Ue5GSlwjoNUjamFx:UlshFQby4f/cUemjo6jaUx
TLSH	T17024312191E10D33D93397E8C79A0B3273E7451AF1A10CD559F9939FC39ACE8F91A81A

Key	Value
FileName	./usr/share/doc/python-pycuda-doc/html/search.html
FileSize	3079
MD5	0C8D515064ED7E2961DE9C83CDA034B9
SHA-1	05DB3B16E16409A107FDFF43739768C7F0AB154C
SHA-256	8BB768527E9D7D4AAEBC9D6080A43BC5A80E2CEF3D18F19191D3442713250FB3
SSDEEP	48:GmnpHTffvhx0xpFLLq0kW6Zv+djUrPnF4t5K:RTffT0/FCnW6Za8vOe
TLSH	T1C3516315ECE2D40280628AE6E4F2F80E6EC1E45797058C48B0CC86A96FC6FC94E5F69D

Key	Value
FileName	./usr/share/doc/python-pyopencl-doc/html/_static/akdoc.css
FileSize	681
MD5	891D9578E8DDABBE8C3E7DD5B577531D
SHA-1	079C57C8505530542ABA7F3A0A6738D20BC9C368
SHA-256	23CBDC4453A610C99AB92FA72D648387E3EBEEBCD9CFEDEBE9AAE5530CA82896
SSDEEP	12:iFosXZv/lYjnh0wT7vvwMLatLaQVtsxu1BFtFmOpQ6Z3p:mouRcS+XMnVYuPFmfY3p
TLSH	T1E701F7A37FA95814233989E2E606EA70B35DD582804D9CF0AFF0244DDC545F45102B4C

Key	Value
FileName	./usr/share/doc/python-pycuda-doc/html/py-modindex.html
FileSize	5679
MD5	FA6E5D496918AFD08CE82705EC7EB701
SHA-1	0AB6918B930A88004C89BF5CCC8D90C28E14A5C2
SHA-256	EFA1A1A90ECC7E46BBE15B264436F731956174F38E9BB270B335524394205591
SSDEEP	96:muTffJtxGzrP+etdotd6tdBtdJBtntdptdDtdTtdBtdVtdttdNtdCOk91Te:X3ozrP+eYKxLRZzDxFd9yh16
TLSH	T14AC1AC0078F5A117651386D8A6907EEF7CD250D387225C507CBE1ABBDF84EFA189B247

Key	Value
FileName	./usr/share/doc/python-pycuda-doc/html/misc.html
FileSize	45049
MD5	0CB66722B33519B8EC145BB34B2CFD0A
SHA-1	0CCBE59146D1ABF8C8C0312A01E30E0F16492B11
SHA-256	236FF6852DD33222E567E12945006AB31E206C9BAD3B385139FF1DD9B0C17C6D
SSDEEP	384:4UfO+Rgx01l8wAEm612sFNBIT9b5qRzg7wABn1J:4UfO+Rgx01l8w7LssF8TfIsnB/
TLSH	T1D313633108A54E378E1303E8579A1B3D76EB401BE29208A5C5FD571F9367FF2E91A21E

Key	Value
FileName	./usr/share/doc/python-pycuda-doc/html/_static/down.png
FileSize	347
MD5	DA60463952C63FBF86E7FB617DDCFBB6
SHA-1	1241ED1AD5BC9C807C4B46A94D80476E3BF9AF69
SHA-256	B0E9170AFFFFEA5064CD0277760D3AC5A8703E1C381A5D9D89E15DB5CADC9D84
SSDEEP	6:6v/lhPfp8RFkqGIySg6sp739JU85k+OGErSW2Bz8QWNipj3Rkp:6v/7uKZIw6spVW+OGxBoQD0
TLSH	T15AE02B9DA6986FF99817D06732504DD8DCA6D14E4753A68509AB906F0C3CD0C2895F52

Key	Value
FileName	./usr/share/doc/python-pycuda-doc/examples/test_gpuarray.py
FileSize	33271
MD5	27FDA1BB087F88FBC453B27F1A0C7E4D
SHA-1	1702B3A47285422412B65900AB02A0C85573B873
SHA-256	C963D4BB3AF717F473A5B4A5D6B4D02D9F31AA202B7E6B722C3504D7FA672A74
SSDEEP	768:WejNF09X1jXyXRRwly9vcZ4DN09BxT+b+GpLuKAE40f/tSef63PA4Y+YCey9y:WU091XyXRRwly9vcmN09BxT+b+GpLuKz
TLSH	T17AE293068E5B8E7C0B9361BC44E68B25239975574B0828F275ED2714DF4923BF37A2BC

Key	Value
FileName	./usr/share/doc/python-pycuda-doc/html/_sources/util.rst.txt
FileSize	9143
MD5	F6DD89DEE83E7B08DE6503B9DB5654EC
SHA-1	1D024D139D9CDB8EAC272F4C220664D44D9E3BBA
SHA-256	BD11699CFACEFCA9C9B75DADF8CE6C7690F8113E17EB4795DDC19D10538A341D
SSDEEP	192:FS1gSkm7gSkk8VK/dUko5btiiqGp0qmopy6grj2bCxe:FvSkhSkZtH1tiGSP2bCs
TLSH	T10C1285277D697B725B43D7A1A8DA1095E3E6440FD72908E430BD80291F4DBBC42BF2D9

Key	Value
FileName	./usr/share/doc/python-pycuda-doc/html/metaprog.html
FileSize	16887
MD5	C2835998716A737142B423E14C75A8FD
SHA-1	255CC64F95EFFDDA64FAF83525D6DE2182DDD9F0
SHA-256	6AA74399DDF5F33C6835D82673A7ACCD6AB023896B9350C5A94283E5942C7B1B
SSDEEP	192:z3Gl3PJpVXJopHRJhZhnI+DgHhOWNzx6ArD37KhCXTwAgRBOLLnilXiuYAwDAwGl:LoBpVJhOGtrD/DnqAzdYBfU1k
TLSH	T1B872EC91E4F6D133013782C356AE1B3AB0F2842AE6950440BAFD837D5BDDE943917E6E