Result for 4B44B6B18CC24A60703F13E3230E567DD255F0B7

Query result

Key	Value
MD5	9E09C1602C9FDC9C01709C60F89FA21D
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	1.fc33
PackageVersion	2020.2.2
SHA-1	4B44B6B18CC24A60703F13E3230E567DD255F0B7
SHA-256	0AC1230CDE201F09EEDA1E0B31D1D707A70730CF450D6F90819AB550CABFAC3E
hashlookup:children-total	109
hashlookup:trust	50

Network graph view

Children (Total: 109)

The searched file hash includes 109 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/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/lib/python3.12/site-packages/pyopencl/compyte/ndarray/test_gpu_elemwise.py
FileSize	18436
MD5	15BBA923CB53939DC11666D29BF1F8F1
SHA-1	0373B02E2AB54D4290BC5F4AC79BA377CB5F3602
SHA-256	48C421ED29E66F2AD8B2367A0277692D1573869702E9C690BF1D78519E484131
SSDEEP	384:nh6jEnP2Zh/W/sTkUnnMeJ1zFNkR0hlUZspK8wc8s4MyjWmdcXAils+bnxDHCxY:nhtnP2Zh/W/SznnMyFC+nQ4K8wc8xMyG
TLSH	T1DF82FE0B4A19042C4742F83A419F6ECBE7289A2F17046477B4CE95603F5EA36D379BBC
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/share/doc/python-pyopencl-doc/examples/gl_particle_animation.py
FileSize	6249
MD5	19C7EF3D6949E924F332C50D55B27DEA
SHA-1	057298BB040FC7A622E1426CC26E821787D72030
SHA-256	4C92EC8449278C238EC020F379CC04E7ACC6D7E7EFDF43D27442A68321AADADE
SSDEEP	192:glmom2k5QMny15Ijp1RgwZa6lACDsE+RmFnvtX51BsPM1:glmom2k+Mny15Kp1G3E+RmFnd51BsPM1
TLSH	T1D7D1720691B6582B4A53FE9F9FDA991E03BC64273A80493EB58E02140FD7037D382ED5

Key	Value
FileName	./usr/lib64/python3.9/site-packages/pyopencl/cache.py
FileSize	14663
MD5	00921D368DD30AF63C4AAE325B2D783C
SHA-1	0875BF3D99EC9E6A558CB85B7164C5ABFEA22D34
SHA-256	1EFF652329FB789AC43947BB4A599E0C9CB619034764193497A32D0DB72856A9
SSDEEP	192:KQHTdea8VjH6EeheXmGmAuxj6kE/tTFZ+tguBG/WJHf/1zZ59Mi5JQlbcdnIKL:K6dezjMGmmFZCpw29Ljccqm
TLSH	T19562A623D95A6423E203D09DD9C3E5229659FC73670945B87CECA744AF0293492FBAFC

Key	Value
FileName	usr/lib/python3.12/site-packages/pyopencl/bitonic_sort.py
FileSize	7875
MD5	A8B70DC8E85B5957A17B58E8D69BDEC2
SHA-1	0B01A4C9798FEC74FEEE50A152FA375CAC021F44
SHA-256	1C14DEFA6A1705F939FC0A12AB714AB96135610D16B83A151CA0F94FD4FB8DCB
SSDEEP	192:GOrp8tWZR3s36ASP8ZIIq7wD5mIvNckXHABlZYjq06wn:RritKB+6AowmIvNckwlZY206wn
TLSH	T12EF1A6177029266723E682495CA7BC01A354A42F7E1429203C2D65F83F9BB3DD2F2BE5
tar:gname	root
tar:uname	root

Key	Value
FileName	usr/lib/python3.12/site-packages/pyopencl/compyte/ndarray/gen_reduction.py
FileSize	56332
MD5	2D84C986061DD5EBAEACB4194CC1475B
SHA-1	0CC859C91653296D04B870B0EB50D112E3F86540
SHA-256	12C42BD1F0C55CC97424546A1ED7BD92D44E45F03C27E61256926D6F1D0C896F
SSDEEP	768:38woVbtpyuYywob/Qj1oZxwI/G1L+R/KBH:ZoVbyuw6OGyIq
TLSH	T1AA4357594C7A4AF58257DCB84B8725112F0B861B168CA9F1FD2DC0A09F0D06C9BF6BDE
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib64/python3.9/site-packages/pyopencl/__pycache__/clmath.cpython-39.pyc
FileSize	6998
MD5	14E9D82A772A33915C9C82B81EAC4A8F
SHA-1	1616BCEEC6D068F24E8D182414C8BBD93D88FCD6
SHA-256	694001AB7B14EEA8EE4F14E5A4D969CBEF5FB0976B4CF20C214BA15D32764E67
SSDEEP	192:vQw/RQHT0oJy8+gRfUgxdfrZFJS84NA0fNd9YkMeffV6fr6r:P56tJyfgRfUgxdf1FJS84q0fj9YkMefl
TLSH	T15AE1D7C11F9B5E9EFC60F2FA847902101215527A37BD8923DC0BE0A7160AAD87DB959E

Key	Value
FileName	./usr/lib64/python3.10/site-packages/pycuda/compyte/dtypes.py
FileSize	9807
MD5	CD811EC87F425E2FC277FF363099AFE9
SHA-1	17A1B2C3FF97B21013BBA3996093A96B5379B019
SHA-256	5DC5C66AB5774916AE12BBE8491E26B1962637A098D376029036A1CCD5793BA2
SSDEEP	192:wQH5Bujh5AYhNckEDD3vumcQLrQZQ+Q2QeQHcjDXQrQ1QFNQKfQ+QdQeQqQCqCQH:wcgvEuob/pwHGk+
TLSH	T1F112FB4F4D01D4135BD3963E1E9BB481A2173BCFA1C47820BBAD64F86F06319D2E5B99
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/share/doc/python-pyopencl-doc/examples/narray.py
FileSize	703
MD5	EFCAD1AE843CCEB48F44FFD573701D2B
SHA-1	1CB415892C261E661DD091DC57A1A50A9B05D0D1
SHA-256	7CAD092941C87373BF1DB7DC3DDCFEEB499F733630FAEA10ECB1E36682F6039B
SSDEEP	12:QZ/2dUmJ3YxrPvQBRdg+m26MhYHKBEf48OF9eurPfsHO6nJLVStXHhTK8AwecUMr:QZ/2dUmoxrQBRKpQgKiqrnPUHO6JhSn1
TLSH	T1B20197310C8E0CC2B242F86F963AE24687A89B1B25CC2866F87F53261F92521D126574