Result for 021A9271DB98A54F596E5FC9F63F002277F43B37

Query result

Key Value
FileName./opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/numpy/core/tests/__pycache__/test_machar.cpython-36.pyc
FileSize1315
MD5DE0D12ACFB4AE03497F47320760D0D1A
SHA-1021A9271DB98A54F596E5FC9F63F002277F43B37
SHA-256691DA57F4B60E5E1932A05D573A02B6A212542B9A212188E9960D1E888220AA6
SSDEEP24:bZSf/qeYN/3vtcn32jrNdHlEoXz6bOybsgDEC5huNzBaf7d:bZSaeY2+dXXzyOk/DEKeu
TLSHT157215492515215EEFDDCF7B6D0BB82330AB06A6F07E661370F05D2A70C093952D64E48
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
MD5D3D6FF6736FEE858B870660D65F38DA4
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. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCBS <cbs@centos.org>
PackageNamerh-python36-numpy
PackageRelease1.el7
PackageVersion1.13.0
SHA-12F2251F1E515458D4BBA830976BD337C7BFE7FB5
SHA-2569E26604B91759023F6A85AC476125AA850A267E8BEF3BD2FACD3672C8F614850