Result for 154296550A7590A0E038290402DAEAEBAC837CB3

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_elemwise.cpython-39.opt-1.pyc
FileSize55396
MD5CC4452704A8762073F47585AD0C01612
SHA-1154296550A7590A0E038290402DAEAEBAC837CB3
SHA-256B00219B92E4B72024CF79450A96A63C377B4411A0AD0BF2E7FE2C408BC67B6D4
SSDEEP1536:fz8tVGy9kq7Xk5eEb/i650M9kwZ3ViKKdRzeSgs10:YtVGy9rLq38KKdleS/G
TLSHT1BE431BC458625D27F4A1F2B5469D034DA713A22733486696F42E829E3F073AC7FB13AD
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
MD5804C7C8301618AED212F4A32C5FFC28F
PackageArchaarch64
PackageDescriptionPython 3 version of python-pyopencl.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease1.fc34
PackageVersion2021.1.4
SHA-1C2AF724CD5AFDE382A70BD625D31583BBDB52DFB
SHA-2565FDA927A6310309BDEEC7A5ECDEBBBEB051985F9A0859C7CB56EE4FE4FDCAED7
Key Value
MD5CF6A4192D5AB1BDF623C9BCEDF4EEE15
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
PackageRelease1.fc33
PackageVersion2020.2.2
SHA-13C10D81B9F93C92B1D3AFB6BAEB44707DA4C27C9
SHA-256D75730643FE3A8618B1619214A9CED7FDF7B2564AAE5F22BA26BB479833E86C0