Result for 075819A15F198FA9D72D46FD2D3457A7719B1875

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyopencl/__pycache__/tools.cpython-38.pyc
FileSize29819
MD535D42FDEB7651D303F52305FAFAED8D4
SHA-1075819A15F198FA9D72D46FD2D3457A7719B1875
SHA-256DBA04231D1B347BDE4E115A0B68128C96F06A6C1B557625766E4D8720E8364A0
SSDEEP768:c7YZQx5N06+AJoOY6K0FNY//6wufegM2JVsChegm1ra:c7YTAJoOlKqNY/CBvbzm1ra
TLSHT138D2B5E6B195A94BFBA1F2B8844932107226B337670D9143370DB26F2FC4AC89D7479D
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
MD5A5C4B5C0366D95E175E1951692B268CC
PackageArchx86_64
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-155498BBE8CE4ED99E513ED2059F4447F961FC902
SHA-25677CB21C5599D77657F735D8E73680A2DFA9D7DFE1244A2B7CA685FF7D10ECDE5
Key Value
MD5D45A6ABFA688CA7595A501173E50BA8A
PackageArchaarch64
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-1B8BD4A3BD0573039C6683B877989486D216DA5D5
SHA-2563EB557D6576D1F25B88EC3B79965D9271A200A281C5C3CCDFD69C0F55E419517