Result for 156708B87AF3B5A2B2261D14D01B2B2C10BBEEA9

Query result

Key	Value
MD5	7E298518DDD7E8DBA13EA7A7A0D22495
PackageArch	aarch64
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	156708B87AF3B5A2B2261D14D01B2B2C10BBEEA9
SHA-256	CF72D1A712E66EE2D9F6319E0CCFA3E5FF59E465202107F2CD09A67CC35B4AC4
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