Result for 01ED5664964C194D31FFAC1D7BB350BA0F5FD020

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/tests/__pycache__/test_system_info.cpython-36.pyc
FileSize6582
MD522227D13C199809A5274D78D3C7BB560
SHA-101ED5664964C194D31FFAC1D7BB350BA0F5FD020
SHA-256CD7A052AE58347A060AA29F0611EE79A8257F73E974C9B438D0C52209A89A3DB
SSDEEP192:fo6KZBeYWbeuYwDH00GAqqwh7xm2PFdhk:AuYIe/MUVAlS7xpFdy
TLSHT18ED1B4AA83078D2EFEA8F5F0141613B5CB3692390B59B2087244604F8D466C746FDBF4
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