Result for 12BBD6282D213018E2DA90B4CF18600FF121AF3A

Query result

Key	Value
MD5	D4184C9287EB8DA9B879B76531001C46
PackageArch	x86_64
PackageDescription	PyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 3 version.
PackageMaintainer	Fedora Project
PackageName	python3-pyopencl
PackageRelease	2.fc32
PackageVersion	2019.1.2
SHA-1	12BBD6282D213018E2DA90B4CF18600FF121AF3A
SHA-256	0D0810C929C88110149C1AC9221381489AC493F728EC8533681DF77037D95708
hashlookup:children-total	111
hashlookup:trust	50

Network graph view

Children (Total: 111)

The searched file hash includes 111 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib64/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_reduction.cpython-38.opt-1.pyc
FileSize	52543
MD5	1705DA56A95AD3CAB238FE3C3E336988
SHA-1	00C1519EA89D49BD44FA450E67D0397F7EB55319
SHA-256	B892B9DA1F3FA51E1597FA5E04F873CAA3596EF9724D5EECB25AA1B44F6C23D3
SSDEEP	384:9gzQv5i82uUvU7P9jOjT1/L4CUoj1owhdOlbyPVtNH7vafXTtg:9gzQn2fU7P9jOjT1z4Ej1ok2boV7LafG
TLSH	T19033585C0C7B0BA6F956F874475A21152E07D20B26C8A9F1F92DD1E19F0E0D89FF239A

Key	Value
FileName	./usr/lib/python3/dist-packages/pyopencl/bitonic_sort_templates.py
FileSize	16107
MD5	EF3D88EB8C079640729FB39AB9E6429C
SHA-1	02B4316BB36BB0AE08B2240668663C805328A112
SHA-256	1867D1531AAF96B1EB7A856233563E7AD981A31974176DC3FDC2AFD304B3EBCF
SSDEEP	384:vritKB+6AgRX7jjB48BNBCBy1BFfQMr7/kcJPh/kpUNNrQwDBlhlok14p:vZ+5mX7jjBtBNBCBqBFt/hv/2Uz/DBhY
TLSH	T15172622239A90551797624DFEB9174003A5AF13FA6E8EEA0393E41451F52F2C23FE79C
tar:gname	root
tar:uname	root

Key	Value
FileName	usr/lib/python3.12/site-packages/pyopencl/cl/pyopencl-random123/threefry.cl
FileSize	54699
MD5	A191744A31FAD84FAD0CFBC92A14B486
SHA-1	036890928362E83B633F397AC7D0BF6185EB416D
SHA-256	D969901B1C7980F4AFDB650BF7F3255EFD1E32E83DD64DDB0BEE7FC90E309672
SSDEEP	384:trUCrUKr1DLaPiLeuHG75L4CB9U8KT7ocv/:tDxDLHe5L4CB9U8K/
TLSH	T11433BCB51565C4313F634B70B67EB1D2205A42FB0A600E7EB81ED6E0AF2E4F9359B5C8
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib64/python3.8/site-packages/pyopencl/__pycache__/bitonic_sort_templates.cpython-38.pyc
FileSize	15982
MD5	6927574A2DF3CBE345FD2214D9BC25F8
SHA-1	0373F904A1ACA209A9F684E0739E93ABF636DD6D
SHA-256	2C8EA99E3FFC1D4DAE7F1560F7B2D6AE209F535CFC201CD65E0A8051224927EA
SSDEEP	384:4ritKB+6A3X7jbH4PHAH8HA3FfQMre/kcJPf/kpUNNMQwF3lhlok14PE:4Z+53X7jbH2HAH8HA3FI/hV/2Uk/F3hL
TLSH	T1CA72322639A90151697624EFAB9174003A5BF13FA7E8EA90393E41441F52F2C23FF78D

Key	Value
FileName	./usr/lib64/python3.8/site-packages/pyopencl/_cl.cpython-38-x86_64-linux-gnu.so
FileSize	967504
MD5	AECF6C84B71B47995C865F7E20F44BE7
SHA-1	05862688B9B654754064D9C4FE90E8989AE8DA55
SHA-256	E7A9832934C4B234A9AFDEFF93A825A315DFC33CD3B56AB02F483D02E75382EB
SSDEEP	24576:QsaAvsSWLbeDNj0HZVHxmDhCYbdEpRCbdExpBAdEQg4dEIi/dEd60dDDdEFAddiO:WAvgLbeDNAHZVHxmDh/bdEpRCbdExpBG
TLSH	T1DC250B1BE69654ACC0DED070066B8163A43578A882397A6F2D48FF740BB2F64E73F751

Key	Value
FileName	./usr/lib64/python3.8/site-packages/pyopencl/__pycache__/tools.cpython-38.pyc
FileSize	29842
MD5	7C9F60DE9E7D7894B051537723DF9483
SHA-1	0A822D8F7BF6BB5775E9669AA388C5E034143C73
SHA-256	9007A581487598D0D97415C503A4E89DAE04CE7A15DEBFEDDEA83288E9A84971
SSDEEP	768:c7YhQxUtpw+AJoOY6K0zug2/6wdhQ8Y6ZmyGK5Pf:c7YBAJoOlKEug2C2h5Pf
TLSH	T12BD2C5A2B195A94BFBA1F2B8844932107326B337570DA143370CB26B3FC96C89D7579C

Key	Value
FileName	./usr/share/doc/python-pyopencl-doc/examples/print-binary.py
FileSize	248
MD5	89D093F25E1585106B8A6BDE1E3F1BC3
SHA-1	0E517933C4946DD4D200E3E2F32D9ECD164B17F2
SHA-256	5450F9391A244F22B20FDA65C46905C135227B050F167D48614F4DA0D41D3F68
SSDEEP	6:J0p+KMABKzA+wycGhm6W4nMisHtehMLn7tvrQ7OHB99n:9KjKzBwycY8iyKMLnlQIz
TLSH	T1E7D09712E00EB9B1B3C6308C4322A6B2C7B038753FA0652C332007FA9A823101CB5228

Key	Value
FileName	./usr/share/doc/python-pyopencl-doc/examples/demo-struct-reduce.py
FileSize	1856
MD5	AC3B169C8FA1618D55BB19BDA2A4D495
SHA-1	1521A985192CD4273EC3EF8FBF48B37A2F54675A
SHA-256	BB31586DDE93AD5811F504D5865DBA0A9DCE785032C94F16C5AB316752C03C2C
SSDEEP	48:Pv1CRXoZzyeMBzU8RZVA+OCLO/K0vOEqO/SgvONObO8OTlEBeLo+I+SWM5Itqb6q:Ho+ZzyeMBzUAZV0BeLZSitS/
TLSH	T10231C3D65C033A2A53DB743C8B99A19DDF123A97890864C0B79C53B4BF41324B1753B4

Key	Value
FileName	./usr/lib64/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/test_gpu_elemwise.cpython-38.opt-1.pyc
FileSize	8090
MD5	8765CAE5919C4E1752A73B279800AA2E
SHA-1	154872E78465C3AD8AD1C334795F61164779B2CA
SHA-256	0D3CB2D3D3C7D49C56EFCD458A096CD04F962F1824AA4305D4468B740F74973E
SSDEEP	192:8/7c0jeWAfvBadIkWKDNakmp8Xi6Ks5yvo6ZxyqI:8zWvBadIkWKDUkmp2IvBvLI
TLSH	T1ECF1639434810D37F9AEF6F89749432D96DEC6956F8EEA1BF40691065F823800D60BEC

Key	Value
FileName	./usr/share/doc/python-pyopencl-doc/examples/transpose.py
FileSize	6110
MD5	468BAACB94EC9E984EDC506A1C2A9505
SHA-1	16D1A8EB6230C7892D7D2319F24CEF9A19725139
SHA-256	59DA83BFD96C9FF304E7D57599A2526D96AF21FF0B3D35D2503A378849861847
SSDEEP	96:WJKJXksWl6aDwyDAmrsaJUfkePaDLoqEBK0YjtwwC+5jebv7AlHvf1QQ9v5aGiot:WK5ksJCsaOM0aoqEfmtwKp+zAN1Qyv5v
TLSH	T1F4C152E7842A58A55712F8BD89C3D112733D9B03C5486C68BFBCA4102F9DE1D42B75F5