Result for 0E8A87EAAC4DADADECF8F1BDDA58F7139829EBDD

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_reduction.cpython-310.opt-1.pyc
FileSize49771
MD5485D55FEB34D2CE63C756169907EF06C
SHA-10E8A87EAAC4DADADECF8F1BDDA58F7139829EBDD
SHA-2568A8BFD674F294E6A3309DF0530FEEEBDA4D465B9D2B2503E5C2D4C2475F76F75
SSDEEP768:T5JUyzGgs4Aj4WDk1PkSZkb7dUcGklj1oYqbbVZ6Xot:jGv/fbDR4h
TLSHT1832368590C7B4AEAF646F874075A31142F07920B1748A9E1FA1DD1E1DF0E098AFF279A
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD536C68DD262F83254F1522F751B5BFAC4
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.
PackageMaintainerumeabot <umeabot>
PackageNamepython3-opencl
PackageRelease5.mga9
PackageVersion2019.1.2
SHA-1BB23674028C285EF11E2C2430C223ECDCD8754DA
SHA-256EA6B5569C0CB982F2B1A6F39A1B3250DBE86741E9C8D8ECBFF3751388CA4CE82