Result for 0147893BB0F4743431CA1ECFCF0858BEAD7DED21

Query result

Key Value
FileName./opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/numpy/core/tests/__pycache__/test_scalarprint.cpython-36.pyc
FileSize1189
MD598BDD197677AC4A52053B7D7919D9FCF
SHA-10147893BB0F4743431CA1ECFCF0858BEAD7DED21
SHA-256DF5F339033A07B827E7728A1A82AEAD8AAF7185807B12CF727424C0E4B14FB90
SSDEEP24:9XaOVg/jWhOnG6mER1uZgsfmnRfapvkN9eFPgSv2cYkn:JErZmER1uZgsG39MIEYk
TLSHT11321008A89CB1C5EFB59F5FCC007AB13A632821EA3E4C61B8F05847B2D125891E70579
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