Result for C732F71F156EA025C88AD34675D6DEDD60F18F0A

Query result

Key	Value
FileSize	5494044
MD5	193AE9F4B184D81C825072CD8F527538
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	2020.1~dfsg1-1build1
SHA-1	C732F71F156EA025C88AD34675D6DEDD60F18F0A
SHA-256	076D4E2695135687DB20C8679958155646BBA20B0707E3F3A80447E0EB84A269
hashlookup:children-total	7
hashlookup:trust	50

Network graph view

Children (Total: 7)

The searched file hash includes 7 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/debug/.build-id/d0/ffe5d517fe66e6ce558f9a04473b0cce9fd60a.debug
FileSize	3969544
MD5	4C55E7034570A42D76C30BCA991B3ADA
SHA-1	038FA3B76061AA1791126F1440FCCD47872438E2
SHA-256	5CE00FFA2B66642AB796D8C53D6720855EECAF27F8F4F5F5F1C07777EA300714
SSDEEP	98304:uZ1a7mEwVwjeEsNmVeGTCBGiQfN/PV8SCx9hB8bB5qBUf9CrzWbaugICWwRfMfvV:aIwwj5Mm1Nrn
TLSH	T10F06BF165544FC93CD8F30FE510F1BA8A5F1BBC96A5075D272ECC65BAC4230EAAB9312

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/_pvt_struct.cpython-39d-x86_64-linux-gnu.so
FileSize	142696
MD5	945CD708B499A2557FB250D6F7E85FA6
SHA-1	25CCCB97CA9F343274AAD40A69C3E003543CEEAA
SHA-256	22EF5CE3867F461782C52FCDD96CFBBF85B8CBD3359C3AD50EAD722ED06072BC
SSDEEP	1536:C1ez//Kwza/ajbGNtfPWf1CzWOleetUWTTOVRmZs5:C8z/ywzaEbg+v+nTTOVF
TLSH	T1E2D35A4BBB80E83EC5184235CCDF9B093329E1551B57A7ABAD0C75742DE33A08DB2B58

Key	Value
FileName	./usr/lib/debug/.dwz/x86_64-linux-gnu/python3-pycuda-dbg.debug
FileSize	11152
MD5	872F0F06337AF75DCD1ABA0FDE45EBC6
SHA-1	7EF0BFB25A66723CE9384C01A2950E671AD8DCA8
SHA-256	1E1D061D4468FA71CAA8C5F564C72E9E696D80BB7B5407DB223120B75D9F928D
SSDEEP	192:bRafNH4aAuFT9r1IapanCtNGSEssIOA3nBsF8kIk+OhOOrPQQuXVc/Ahu4CDDp:gfNHP/preapanqNGBsFnBbkOjODQzFcn
TLSH	T19432AF293311A9F5CB7E2830B18D18297787F78328004BADB504B4517C79B991DE316B

Key	Value
FileName	./usr/lib/python3/dist-packages/pycuda/_driver.cpython-39d-x86_64-linux-gnu.so
FileSize	16148480
MD5	140BD05C7A825CEBA3A5B5B0F20A9D2B
SHA-1	508E573C9194160803107186988E0AF49BAED51F
SHA-256	356BE3E196A12277DD4F2C8A1A608322A37ED4342CDB8B950C35530C9F3254A8
SSDEEP	98304:TjnydX5/6gPuKRFAJj4Vj8yy+bliby5rEwjV40jmGjPAWJkfG+3XQKeUwZhxsgPi:NDfC7Iw/8a+Imww+zFI
TLSH	T18EF6291A1948EC47CC5660BE9D6B07687271FDCE62003AD351EDD27A6C4331F6FAA31A

Key	Value
FileName	./usr/lib/debug/.dwz/x86_64-linux-gnu/python3-pycuda.debug
FileSize	11344
MD5	4B199E2F666B45E9D54C71D3FB720977
SHA-1	B97FA4C9F0EBEAA94D82B0F2CEC95F542816E1E7
SHA-256	AAA322AD9812661EDD17AEA6EA5D6C91129C720EE0D52792434366B7BE4224BA
SSDEEP	192:b5W0dpCg+vxyRw4Sgj0jwBDwiKL4mRPgLEIAFFG3DvGjzUFpmO1S:VWIpCI3SgAMBFKL4QPBeKjzi51S
TLSH	T18D32B0238A1B4D81C3B285775B56FDB7CB90A322C062DEC76B51F4589EE4A126B1244F

Key	Value
FileName	./usr/lib/debug/.build-id/12/0055486c88cd0c107debc4bd0853d47ea3d3eb.debug
FileSize	43784
MD5	21391A587870C70237E37DEC9A94D4DD
SHA-1	D67FE549CA5A019BA443BEACDAC37F462A8E386B
SHA-256	505325A8058180109C9E965DEC9E7E4E94A1F0FE9115181E7AA52DBF2D296B37
SSDEEP	768:g38fQsYAzFYXnfsMUgh+sa+UPAHhkEzPul4Zr5s:gM4sYUiXnfsMrh+swAG+2O5
TLSH	T1C8139EC6CB50F932CC1DC63E474A062DA6F2C2E155D2428258BCDDA99DD1710DE3EFAA

Key	Value
FileName	./usr/share/doc/python3-pycuda/copyright
FileSize	5917
MD5	A56B26408BF93732933D60DD987488D2
SHA-1	FCFA3AACCBD5DFFE2C9518589DD46974A5B2BCE1
SHA-256	E354C03018863066B291A1EF12776AC66A21AC6E068901B9F64E93C7ECE19355
SSDEEP	96:j0r4Tvm+/WlyNl4reeVTG8NvP/4YV04gPzHFcVFqpk4XV7xP+4KQHLog:j0G++zNOr/c8NvPV0DPzHa0W4XFdKQHx
TLSH	T196C1E76F734407B21AD027D23F9AA4CEB34FB15AF7379AC4B45CC14D273A429827A5A0