Result for A46C5561E3CD7A6B8FC006B0819FB3C8F535C5F5

Query result

Key	Value
FileSize	5063880
MD5	5F91416E0064CED1969DBB172AE928C5
PackageDescription	Python 3 module to access Nvidia‘s CUDA API (debug extensions) 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 debug extensions for the Python 3 debug interpreter.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-pycuda-dbg
PackageSection	contrib/debug
PackageVersion	2013.1.1+git20140310-1ubuntu1
SHA-1	A46C5561E3CD7A6B8FC006B0819FB3C8F535C5F5
SHA-256	CE6DB23B0D8A6F396946C86E994125B7FBA1CAA32167FFE012195989108952FE
hashlookup:children-total	5
hashlookup:trust	50

Network graph view

Children (Total: 5)

The searched file hash includes 5 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/_driver.cpython-34dm-x86_64-linux-gnu.so
FileSize	19342125
MD5	1172DA18B8710ABCFA04235E04B62450
SHA-1	FB70D26EE3C70AAA374139704E8D39E960D46CE3
SHA-256	67A0A2168899EDEAF94EB4B439DC853D4E73950A6B7F90FE58CC9FAE833D34DC
SSDEEP	98304:bOphNgjcH24IiMPE/nHRp6pxybrE82f1w8vELvI0Zb6ERHbDAB2aFokEY54IESIX:1hF61epQvf
TLSH	T16717B58E52C8ED1ECD1B60FD5FF7429C2526D5CEB5A0EBD30458E6A53C4323A2E9818D

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/_pvt_struct.cpython-34dm-x86_64-linux-gnu.so
FileSize	150157
MD5	79093EDE440A3EE7B820EF719BADCED9
SHA-1	44312F744290CBD189EBEB1C09AAEA3FE0B5F2B0
SHA-256	7CCCAB0C78689741A0167EE358D60AB53E8E43EF3E468511B02434EA6DAC301F
SSDEEP	1536:pTuHRZnQUNoUor/dZyA0N//p3/jb7zEygk84CDOKtu18P/FKAmrfhpbwb8+GpsC2:pqHRNtwPUnp3LtdaSM4pbC8+qPQNDeZc
TLSH	T1B4E37C531765C82FC111E6798CEB17689B22F012F633BB93844D96344562B1CAF9BF6C

Key	Value
FileName	./usr/lib/debug/.build-id/0c/5e2ef186d7f226d3b5288198e5afc0c35d9b1c.debug
FileSize	4188211
MD5	251A21A860298077451478F6EFAFF89B
SHA-1	B476B552F85DA70EB4DE8C1D71FAFC152C7C54DF
SHA-256	A58ED388B9F3D01411BF32D782B0A48E562AD63298FB196A110C0ED6EA8ACA7A
SSDEEP	98304:Ml4IlJOeqplbrnXvkPHYifUPi/tMJJvLYpYw3ioKSEvWSZyZyo3OzGXWVb0Rl0Gv:U/J3QxXmxgGtMJJTYpYw3ioKSYWt
TLSH	T16E16D0161540FC83CD4B71FD610F1BB9A5F5BEDA6B9035E2A2E8C61B9C8230F6B65312

Key	Value
FileName	./usr/lib/debug/.build-id/87/191954366095dd0db1f9fa4ffcf009814cb59c.debug
FileSize	49854
MD5	7D5AED58B7D572D7B9C17DA3327C4AE5
SHA-1	AD960A6257F521BA65588B4B6151392986C41A50
SHA-256	6AF9DF1353F6F6259951450F9681C016F459B9712904664628A279611082C57C
SSDEEP	768:+lnKh7VxlFltWRbJSZiu5EMOLH/h8Tiv2C91gXQj7nWVhJR4w7R/BTI:+cdltWR1pjMOLfmivHZjahJrR5c
TLSH	T12623C010CA4CCD3BC4A8233F88EA5A166B76C62104679383C679D7A64D893548E27FBD

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