Result for 79070F7702532C3F2362F7525CABA9EC3A5C0FEF

Query result

Key	Value
MD5	7C4EFB35420ACD17E049F673AB39344B
PackageArch	armv7hl
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	daviddavid <daviddavid>
PackageName	python3-opencl
PackageRelease	2.mga8
PackageVersion	2019.1.2
SHA-1	79070F7702532C3F2362F7525CABA9EC3A5C0FEF
SHA-256	7EED671564A6BFEA0E84B5AF93F871B7FEDD45157F01C7260D7876FD9C1C2769
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/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/test_gpu_elemwise.cpython-38.pyc
FileSize	9934
MD5	DBFD01FF312E40F2043BADE4BF0C0500
SHA-1	00316B935C026A5DF48757B350819F03A9E56D70
SHA-256	FE5C4C5712EAA165B8B0437CE9F74FE9CB385879B92BB770E01261ECC15745E7
SSDEEP	192:8gSUCr1XFa7PNUs5EMtFOv0WeU6TU6kqg6ZSYSofmajP8aPcnnDxQFXBqt/d:8BJXkEMtFO8WeUHMgwSbofmajP8aPcnL
TLSH	T1DD22B89438514D0BFAAEF6FC8291462DE29EC7554F8EE94BA815D10B5FA53C04E20FEC

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/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_reduction.cpython-38.pyc
FileSize	52583
MD5	1BC939F8313DB34E43BA1CE87FE87955
SHA-1	052F508C5CDBB5F437F1E997AA8F8921C1AE8EFF
SHA-256	0D84234D7274DADB09B06B0187DE3ED5920351FD412EC3F0115BDB224BFE0005
SSDEEP	768:9kzQn2zUFx/9fOVV1kEYU9j1o6S6fVrrLaO4:eQnh1OVIE5r/Y
TLSH	T18433585C0C7B0BA6F956F874475A21052E07D20B26C8A9F1F92DD1E59F0E0D89FF239A

Key	Value
FileName	./usr/lib/python3.8/site-packages/pyopencl/__pycache__/array.cpython-38.pyc
FileSize	65089
MD5	6F6B989ACA7BCA8BB06929921BDC09E2
SHA-1	07632880F847379670CF4FE25E16F4703EAE3901
SHA-256	1EEF007573C6767A43E05F8A9A58EEEBB8599B320CA9B7716BE04E067802FFCF
SSDEEP	768:FsY65oXKViO6Fkl+B34ZKM08Ypw7RrpePNTOSz9VLveeCHQ/32Q5lnRH/9JuEZA5:qp5oXKBiHY7K3B9eet/2Qft/9EmA1aa
TLSH	T12153E69A3DA71DAAFF61F2B080090154A66BE32773D9C276302DC5AA3F411E81F745ED

Key	Value
FileName	./usr/lib/python3.8/site-packages/pyopencl/__pycache__/tools.cpython-38.opt-1.pyc
FileSize	29762
MD5	7F4E55D4FB55A77B0953298BA535C498
SHA-1	0D666432781291FF473A99D48D4B7491984F3723
SHA-256	E8D54A3148036D038D6B5F71B65B07490FB1386275FA5C131DF92841444C49D5
SSDEEP	768:c7YhQx5N0O+AJoiY6K0FNY2i6wXKBDCBVzkYeJBM6Q:c7Y3AJoilKqNY27wp6BM6Q
TLSH	T180D2C5E67195A94BFBA1F2B8840932107226B337670DA143370DB26B3FD4AC89D7179D

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/lib/python3.8/site-packages/pyopencl/__pycache__/tools.cpython-38.pyc
FileSize	29817
MD5	9C11C37914BE890ED744E89863CADFBF
SHA-1	15C8A6358DAED6798E359340DEA01AAE077166C6
SHA-256	E3FE17FB398D852399DBC16297DB4BD911C148E46351152B1FEFCAC4318C6FAB
SSDEEP	768:c7YhQx5N06+AJoOY6K0FNY//6wufegM2JVsChegm1ra:c7YrAJoOlKqNY/CBvbzm1ra
TLSH	T169D2B5E6B195A94BFBA1F2B8844932107226B337670D9143370DB26F2FC4AC89D7479D

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