Result for DD7B49AC6B39CD027BF1ADA3096A645303EB16DA

Query result

Key	Value
MD5	EB0F9FBFAEA9FE809C84508A9BBB4F5F
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	umeabot <umeabot>
PackageName	python3-opencl
PackageRelease	5.mga9
PackageVersion	2019.1.2
SHA-1	DD7B49AC6B39CD027BF1ADA3096A645303EB16DA
SHA-256	987CCD85F8CA112B1CF2181698A082B85665EA15C19891B14D8811B4288208C2
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/python3.10/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_reduction.cpython-310.opt-1.pyc
FileSize	49771
MD5	B58A311EBCF6776C172B67FCD5E8C894
SHA-1	00B3738D2218196FA0D4B7DBF6364E8FE3936AA2
SHA-256	E90633B4FD231A6C3D138F33DB8E57B739CB917F846C021AD70E27E1711E6A6D
SSDEEP	768:T5JUyzGgs4AjYWDk1PkSZkb7dUcGklj1oYqbbVZ6Xot:jGv//bDR4h
TLSH	T1E62368590C7B4AEAF646F874075A31142F07920B1748A9E1FA1DD1E1DF0E098AFF279A

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/python3.10/site-packages/pyopencl/compyte/ndarray/__pycache__/setup_opencl.cpython-310.pyc
FileSize	3157
MD5	9E6ECA811C0A176DD0CE47D8A79B837B
SHA-1	04D9362769ACD62254972391C68104EE74A723C0
SHA-256	EB6C4AE46B5BEC1FD61293546CAF486B3938087A38B6D96EA1B16F4521EA2D7C
SSDEEP	96:loYloFzjy2Vo/yhC2nhChR9XtWZd0tvWHQH:l+VhC2nhCh0L0tvAQH
TLSH	T16F51A690050E5E69FEECF3F4A8B50258DAF8C56D239870261EC6C6E77DA62CD81118CC

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/python3.10/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_elemwise.cpython-310.pyc
FileSize	55076
MD5	1588BCE9D501244B2693CD7CD4136088
SHA-1	13E222D0020C2185087386552C065C19E861BEB0
SHA-256	D579821F2EE99D9D5D4018501424394182F0B5C1D30635DCED79B44BB91229B3
SSDEEP	768:Us1M2ie6ICaAs/SpJFf0RmPrL6+FiuzdaZ+BUWAkWp/lwECRz7VsF0YDq9:7iePCaAs4bf0Rl+FiueWAkCORz7U7q9
TLSH	T1EB331A4078729A1BF495F6B1469D104DA313A2073B8C76A5B91F824E3F1638CAFB179E

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/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

Key	Value
FileName	./usr/lib64/python3.10/site-packages/pyopencl/__pycache__/_cluda.cpython-310.pyc
FileSize	2056
MD5	D60FE528EF1BE99C04889DFE135A82BC
SHA-1	1A7295C3D51A59EF8F20A1E36B242261632F0528
SHA-256	E3E7A8F224A8697BE63F3783FA416516029E4FF773CDDEC1D2782EF4B4F150D1
SSDEEP	48:6aDaJHlxE35QHOs5exm3ogF5X8ox/T3Tm6WBsBZdkHW8L:6aWupQHTo88yrDy+CB
TLSH	T1594144292EED0351A8B533F419987806A117DE3B551A5ACC383DFACC1E2957885FB4DC

Key	Value
FileName	./usr/lib64/python3.10/site-packages/pyopencl/__pycache__/invoker.cpython-310.pyc
FileSize	8759
MD5	877BFD54F4D87946C9E3903291388B44
SHA-1	1F7CDD20C06C95EAC7422F3223014CB6047C8121
SHA-256	481741EE7D24D953A8D500037AC50C9C83CA98FF02201F3053213504DE0DB3EE
SSDEEP	192:juRQHTPVRzVVC/4nEE8Et2E8MLXs/yUz8y0O:ju6dROKEN8lTMAA
TLSH	T11E021993AE168977FE46F2F4003D8F1D416B136627898205702DB35B1FF47DAA8AA4DC