Result for 02D4726F8E95A21F2AEB0304E8CC54DF8CAE81EF

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/test_gpu_ndarray.cpython-38.pyc
FileSize12119
MD5913920CC374BDD97EDBAAD3805A40744
SHA-102D4726F8E95A21F2AEB0304E8CC54DF8CAE81EF
SHA-2563960D77B5C843E06BA283FB91A124E073D9CBF0D6EFB3A90967C672CBCF0B23F
SSDEEP192:Lh4VFWahwp8Mf/48CxPf5uEXrxgajIkBm7EO5Pz26To7:WVFWa6fRobaajIkBmI+Pa6Q
TLSHT12742E8E7BC04AA5FFE9DF5F4600C426846E5E2B8FBC752A60805D1EF1D402D91F20A5E
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5EAF50F83D0AE3F24728D3511CE5F7E05
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.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease2.fc32
PackageVersion2019.1.2
SHA-1F76087EE0549F3F58889F083513085042C1E7126
SHA-2561B7B4F9E02736D340E97330F23BBB2C358F4938CF3522541370773CAB5FAC52E