Result for 07632880F847379670CF4FE25E16F4703EAE3901

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/pyopencl/__pycache__/array.cpython-38.pyc
FileSize65089
MD56F6B989ACA7BCA8BB06929921BDC09E2
SHA-107632880F847379670CF4FE25E16F4703EAE3901
SHA-2561EEF007573C6767A43E05F8A9A58EEEBB8599B320CA9B7716BE04E067802FFCF
SSDEEP768:FsY65oXKViO6Fkl+B34ZKM08Ypw7RrpePNTOSz9VLveeCHQ/32Q5lnRH/9JuEZA5:qp5oXKBiHY7K3B9eet/2Qft/9EmA1aa
TLSHT12153E69A3DA71DAAFF61F2B080090154A66BE32773D9C276302DC5AA3F411E81F745ED
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD551FFADFCBEEA8BC10D69EF5582C00F44
PackageArchi586
PackageDescriptionPyOpenCL 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.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-opencl
PackageRelease2.mga8
PackageVersion2019.1.2
SHA-1869F3828B15F6DC46CA473CFB23E2876EFD59F94
SHA-25617DC6B9F36F4AC1F62405A5F75667D67EC5F6D81B1A920BD6EC817ABFAA8D74F
Key Value
MD57C4EFB35420ACD17E049F673AB39344B
PackageArcharmv7hl
PackageDescriptionPyOpenCL 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.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-opencl
PackageRelease2.mga8
PackageVersion2019.1.2
SHA-179070F7702532C3F2362F7525CABA9EC3A5C0FEF
SHA-2567EED671564A6BFEA0E84B5AF93F871B7FEDD45157F01C7260D7876FD9C1C2769