Result for DAAB9AB2208277BBE1ADC83A10571299F3B3A037

Query result

Key	Value
MD5	2AB78712F3E9E71FEBD841CF6443B43D
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	shlomif <shlomif>
PackageName	python3-opencl
PackageRelease	1.mga7
PackageVersion	2018.2.2
SHA-1	DAAB9AB2208277BBE1ADC83A10571299F3B3A037
SHA-256	F6544A767472A1D7182963CFF2E5C626A955C5D61BBE142A29DC169B6E074002
hashlookup:children-total	110
hashlookup:trust	50

Network graph view

Children (Total: 110)

The searched file hash includes 110 children files known and seen by metalookup. A sample is included below:

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/lib64/python3.7/site-packages/pyopencl/tools.py
FileSize	29874
MD5	4ED70700DB0C0AF4844CCC3C48424ABD
SHA-1	036623EF4E0D53C859D30FEBA34F392A101D454A
SHA-256	522D5620944B446455600BBB946BDE7B6C049398F2C3FDC72FF3006076A025C2
SSDEEP	768:9ioFf1/kAD52vIM1+KwtkKY6K0u2L2T7y2FSXHfWwK6CUK3tLdoosWMG9z7e:9im/kADMvIM1+KwGKlKH2L2Tm2FSXHfr
TLSH	T120D2A715689AD052A393D53E4CC7F413A32A6A17570C14787AFCB3792F91E21C2E6BEC

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/python3.7/site-packages/pyopencl/__pycache__/cache.cpython-37.pyc
FileSize	12308
MD5	F26021F325F58F411C438BD2F50A40AE
SHA-1	06CA182A1BD4FAA31B82AD528526139BE96E9B82
SHA-256	71FE35B8441F29C660675DBA96E712D8B72BC1ED7728E85F452EF2F75DF6F1BE
SSDEEP	192:NK8RQHTZI9EC8Us9uWKnxw8vGM/9wDJnT/+VaXGFePimPV7wo4aLwjxetqe/:p6ZPzQWKnH/9UnD+wXGFe7V7t4rMqK
TLSH	T11642E6D757089D27F855F3FA531D4322EA12973A238F86524C12E1AF1E4A3D03D6A6EC

Key	Value
FileName	./usr/lib64/python3.7/site-packages/pyopencl/__pycache__/ipython_ext.cpython-37.pyc
FileSize	2557
MD5	4FB11B20683DA3E34322ADE236D7B1A8
SHA-1	075FF655EB00AA2E77F06CD219E4703BA93DB34F
SHA-256	9C370CE47CC20FD34AECA68A458DC6554643EFCCCAF2AC045488F36BE6A64F13
SSDEEP	48:KNAshgg1gZhxwUKA0XpjgNDs9e9YGVwDbla2r1lZkxnINNET8IQR/+fF:KNAshV1SxKA6pjDb4iZWIJH0fF
TLSH	T1FE51949255818DDEFCAEF1FC505B46A4D659973F54E2F4431F20D38E1D0A2C0B464B8C

Key	Value
FileName	./usr/lib64/python3.7/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_reduction.cpython-37.opt-1.pyc
FileSize	53634
MD5	D3FBDC57F646EA2509907360A9FEE2D2
SHA-1	0AD77C2A1533E263FADA3990E5A346EF0E91D49D
SHA-256	9EBD42E194EF3F6FE872C31CAE4B31AC93F784747EB0A1D086500D6726FA2B0D
SSDEEP	768:/y5gzN6lsLiizlOciDkOvj1o1SnwSVA7Cbn:jNomTOcWxhwq
TLSH	T1F83335581C7A4BB6F556F8B4075A25442F07920B1788A9E1FA1DC0E4DF0F0E8AFF539A

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/lib64/python3.7/site-packages/pyopencl/__pycache__/bitonic_sort_templates.cpython-37.pyc
FileSize	15955
MD5	3BA844386CEA3CC27528A81C4DA15D87
SHA-1	1108974CD7928634CB667FADE0331B2F04B267BE
SHA-256	AF4400850F39B069A11883FCA00994256593E9D006F0F6EB8467ACB0778CD20E
SSDEEP	384:hritKB+6A3X7jbH4PHAH8HA3FfQMre/kcJPf/kpUNNMQwF3lhlok14Pc8:hZ+53X7jbH2HAH8HA3FI/hV/2Uk/F3h0
TLSH	T18662312639A90151697624EFEB9574003A5BE13FA7E8EA90393E41441F52F2C23FF78D

Key	Value
FileName	./usr/lib64/python3.7/site-packages/pyopencl/__pycache__/clrandom.cpython-37.pyc
FileSize	21868
MD5	7B25E1D12FC6F464972265ED70F34B6B
SHA-1	11372DEDF7CC77515AE08DA7A6A0BBCF1A560EAA
SHA-256	E0493EF08D8CB4BC73A8433B2325C273AF60125C60BB1F49F5994831E9A32C83
SSDEEP	384:R6doQxK6mpjhvqIH2l5bmdx9rsUCUaBm6gPHfLC/mOrY5jFX3ZD3PFo:wiislhLIQx2kZnLC/LY5jh3ZDPFo
TLSH	T1D1A2F90869C7393AFD43F1B885F90131A6285257978BEA04791CC6997F0A980B7FD7EC

Key	Value
FileName	./usr/lib64/python3.7/site-packages/pyopencl/compyte/ndarray/__pycache__/test_gpu_ndarray.cpython-37.pyc
FileSize	12772
MD5	D3A63CC2212BFAA645B7B0E7397F4036
SHA-1	13B91610D1ABD0F8294B90617D9027F73ACB49A3
SHA-256	ACACFE29A34CF2F697874AEF8083915F88C281F5C33DAE6763567DCE4D98E5D6
SSDEEP	384:5i4QwxfwBCcJGIIwoCpe1ar8k5rJV+H7TEwBrqL:5iCxfwBCcJ5Ie016lVJcH7TES6
TLSH	T16A42A7E77C04EA2FFE5CF6F4800C526845AEF3B85BC7C59B940494EE5D812891E24BAD