Result for 154872E78465C3AD8AD1C334795F61164779B2CA

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/test_gpu_elemwise.cpython-38.opt-1.pyc
FileSize8090
MD58765CAE5919C4E1752A73B279800AA2E
SHA-1154872E78465C3AD8AD1C334795F61164779B2CA
SHA-2560D3CB2D3D3C7D49C56EFCD458A096CD04F962F1824AA4305D4468B740F74973E
SSDEEP192:8/7c0jeWAfvBadIkWKDNakmp8Xi6Ks5yvo6ZxyqI:8zWvBadIkWKDUkmp2IvBvLI
TLSHT1ECF1639434810D37F9AEF6F89749432D96DEC6956F8EEA1BF40691065F823800D60BEC
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
MD576E53FB6C6EB054FA9B890AB33621CB1
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.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease2.fc32
PackageVersion2019.1.2
SHA-141D3A0D357FD099DC455307B7554FF8612F62C16
SHA-256691E0F0D38745BE3B1BDC1BA05E3B92AC0670987C6A4673913307E93C6E13D99
Key Value
MD5D4184C9287EB8DA9B879B76531001C46
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.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease2.fc32
PackageVersion2019.1.2
SHA-112BBD6282D213018E2DA90B4CF18600FF121AF3A
SHA-2560D0810C929C88110149C1AC9221381489AC493F728EC8533681DF77037D95708