Result for 0373F904A1ACA209A9F684E0739E93ABF636DD6D

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyopencl/__pycache__/bitonic_sort_templates.cpython-38.pyc
FileSize15982
MD56927574A2DF3CBE345FD2214D9BC25F8
SHA-10373F904A1ACA209A9F684E0739E93ABF636DD6D
SHA-2562C8EA99E3FFC1D4DAE7F1560F7B2D6AE209F535CFC201CD65E0A8051224927EA
SSDEEP384:4ritKB+6A3X7jbH4PHAH8HA3FfQMre/kcJPf/kpUNNMQwF3lhlok14PE:4Z+53X7jbH2HAH8HA3FI/hV/2Uk/F3hL
TLSHT1CA72322639A90151697624EFAB9174003A5BF13FA7E8EA90393E41441F52F2C23FF78D
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