Result for 0402D07EBFF44FA1E5230915B05BD6FAC01D06D4

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/pyopencl/compyte/ndarray/__pycache__/__init__.cpython-310.pyc
FileSize163
MD53E9383869865FBCBD68F04447B9CEF36
SHA-10402D07EBFF44FA1E5230915B05BD6FAC01D06D4
SHA-25678C63C04BD689EF853380712C4B075D1CB1F71F34D9D376CE908BC0F28899A14
SSDEEP3:y/Xao/c/luleh/wZWejA9YJgLdWrziJJdcB+XEjRkcTgp:y/Ko/0qeh/wvA9YJgMr62+ED4
TLSHT15FC08C04C72882AAE52EBE363224031461D0BA21934B11C32B0456856C457400C22504
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
MD50577E19BECF363E8D3F10287882D2852
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.
PackageMaintainerumeabot <umeabot>
PackageNamepython3-opencl
PackageRelease5.mga9
PackageVersion2019.1.2
SHA-138394D90D351338B3DD49DB6D35388BF64E96095
SHA-256A5DA1DAA59C3A1B685E5C4BB57386E689362C2E89C80F8FF6BED3B067E99D797
Key Value
MD5A3402A04DC7B9627AEF1DF40100D8BA7
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.
PackageMaintainerumeabot <umeabot>
PackageNamepython3-opencl
PackageRelease5.mga9
PackageVersion2019.1.2
SHA-11AB7CA1E3661928291E3912BC449921279CD293A
SHA-25659DBAEF9CC50AA2B90CD62D13CF60DEBF596566E4CB5271B2DAD3681E19BCE83