Result for 03A44F8C860A6A36E1B0B49B0874C3D3726581A1

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/lib/__pycache__/stride_tricks.cpython-36.pyc
FileSize7961
MD58D9ECD0EE453DC0C7A24CD3CAD5111C4
SHA-103A44F8C860A6A36E1B0B49B0874C3D3726581A1
SHA-2567B58A6D0E43EAF86532B50BF52B2D74408F2AB78FDE731991F14121183323803
SSDEEP192:OsaCXpvVXifs78tqB6FCLMSUMXw1QkxSuZ5BbcyIcuSWWA2B:Osj5vJWYUALMzMXw1PjZ7BvVB
TLSHT1A8F19646AFAA0FBDF942F2B5E1C95557C620413F4348D102309F59993F1A6AC1A7D2EC
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
MD5622573852673C8C77D5877B9786C5C08
PackageArchx86_64
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-10EC6C3EA21290C59782D4634AB1E650A866BF697
SHA-256961139535A2C96904A495B89CBF59A13AC940CD8B07A08FC98867145083F2B88