Result for 01C080DC5C87B3C927A1FDC247A7CDDE85A742AD

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/random/__pycache__/setup.cpython-36.pyc
FileSize1961
MD54B0355540B98E79851A1C83067321DEC
SHA-101C080DC5C87B3C927A1FDC247A7CDDE85A742AD
SHA-2563E8A768642E4970F83D7F369468F1B5D740A9B49ECD04CE0B9D5163DE0FB23E3
SSDEEP48:QDoGT+/6zSNGr4jZSb/RjB124wAEN2xauUj/x8GBgqVZr70OBQ:qE/6zMZK/84wAEcxRk8KVZk
TLSHT1BA41B59255004D2FFEA6F3F5C2C653265970BBB393E8A1245D4D28DABD251C11BE20AE
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
MD5774C11CFA31222E53F17845F59EE11E5
PackageArchppc64le
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-128A2DBFF1670ED40E2BB439C14460D8E24BC8068
SHA-25610A73526FD643A3DFD145751C12AE41CBB8E654D97138AA3942CBE7DE29CFD26