Result for 1DC3BD40AB297FB9FB01BC13176BF1CDDB90DB49

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/test_gpu_ndarray.cpython-38.pyc
FileSize12121
MD5559FFC563A8DF96EF725565BC5965466
SHA-11DC3BD40AB297FB9FB01BC13176BF1CDDB90DB49
SHA-256DD3BDAFD82C6A08A1C537379241411A0D297F3F93C8C4C217303EF33EC3C5624
SSDEEP192:vh4VFWahwp8Mf/48CxPf5uEXrxgajIkBm7EO5Pz26To7:yVFWa6fRobaajIkBmI+Pa6Q
TLSHT19D42E8E7BC04AA5FFE9DF5F4600C426846E5E2B8FBC752A60805D1EF1D402D91F20A5E
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