Result for 052F508C5CDBB5F437F1E997AA8F8921C1AE8EFF

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_reduction.cpython-38.pyc
FileSize52583
MD51BC939F8313DB34E43BA1CE87FE87955
SHA-1052F508C5CDBB5F437F1E997AA8F8921C1AE8EFF
SHA-2560D84234D7274DADB09B06B0187DE3ED5920351FD412EC3F0115BDB224BFE0005
SSDEEP768:9kzQn2zUFx/9fOVV1kEYU9j1o6S6fVrrLaO4:eQnh1OVIE5r/Y
TLSHT18433585C0C7B0BA6F956F874475A21052E07D20B26C8A9F1F92DD1E59F0E0D89FF239A
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