Result for 0C01559DA530304363D2AA79594E23C77EFE9644

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_reduction.cpython-38.opt-1.pyc
FileSize52504
MD519372891B60E04ACCAD92A695C4EF4B4
SHA-10C01559DA530304363D2AA79594E23C77EFE9644
SHA-256A8E297B2338383FB9E0EA3832D936B9446FFE8CB083B70EA08720586E7D36150
SSDEEP384:9YzQv5i82uUvU7P9jOjT1/L4CUoj1owhdOlbyPVtNH7vafXTqg:9YzQn2fU7P9jOjT1z4Ej1ok2boV7LafR
TLSHT10A33585C0C7B0BA6F956F874475A21052E07D20B26C8A9F1F92DD1E59F0E0D89FF239A
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