Result for 060BA4764717FE8A4A1B695FF341894767525217

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_elemwise.cpython-38.opt-1.pyc
FileSize55584
MD5017102C49301F86074DBB215D5F9818B
SHA-1060BA4764717FE8A4A1B695FF341894767525217
SHA-256D720F6C16C1FB29DA4B90765A87C6D4D33FADB56785B54A212158CF6F4151444
SSDEEP1536:VroGy2chVXycmqiqeWw6gsi0rFRzFS46iKp:VroGy2cZgX0rFlFSxz
TLSHT1FD430BC178A31417FDA1F275829D114DB31BA31733C8659FB61E924E2F4A28C7BB129D
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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