Result for 03CE7E6DC4D2312C15A2DB3492F3367690F6635D

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/core/__pycache__/einsumfunc.cpython-36.pyc
FileSize27420
MD5E78C2A0DF703EBBDF214489827B927D8
SHA-103CE7E6DC4D2312C15A2DB3492F3367690F6635D
SHA-25639689AD2167B521F9DCF742F97FC0B487DB837C5FBB69A31DEFCA9C94FD8875B
SSDEEP384:EYAR9EXt0QWqxrTZPcOpPnF8ZPEF0Q3JxDwgO9a8BR4EZlTqucfT85lF2sO8ERBI:zx0urTyOFF8OF0CDy/7ZlsfT85dOpDc
TLSHT101C219413DC08BB8B653F6F625EF4446C320D17BAA28584934CEA0BA0F62578937F6CD
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
MD539F3D3DFF705D2555CF90AB236B0F81D
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
PackageRelease1.el7
PackageVersion1.12.1
SHA-1753660EE09268590143BFEC77D0574CD37EC0CFE
SHA-25625FFD2686345D94E6F625287B5685998E767F2F71623E862D950C60E7AC5BC88