Result for 00316B935C026A5DF48757B350819F03A9E56D70

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/test_gpu_elemwise.cpython-38.pyc
FileSize9934
MD5DBFD01FF312E40F2043BADE4BF0C0500
SHA-100316B935C026A5DF48757B350819F03A9E56D70
SHA-256FE5C4C5712EAA165B8B0437CE9F74FE9CB385879B92BB770E01261ECC15745E7
SSDEEP192:8gSUCr1XFa7PNUs5EMtFOv0WeU6TU6kqg6ZSYSofmajP8aPcnnDxQFXBqt/d:8BJXkEMtFO8WeUHMgwSbofmajP8aPcnL
TLSHT1DD22B89438514D0BFAAEF6FC8291462DE29EC7554F8EE94BA815D10B5FA53C04E20FEC
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
MD551FFADFCBEEA8BC10D69EF5582C00F44
PackageArchi586
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-1869F3828B15F6DC46CA473CFB23E2876EFD59F94
SHA-25617DC6B9F36F4AC1F62405A5F75667D67EC5F6D81B1A920BD6EC817ABFAA8D74F
Key Value
MD57C4EFB35420ACD17E049F673AB39344B
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.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-opencl
PackageRelease2.mga8
PackageVersion2019.1.2
SHA-179070F7702532C3F2362F7525CABA9EC3A5C0FEF
SHA-2567EED671564A6BFEA0E84B5AF93F871B7FEDD45157F01C7260D7876FD9C1C2769