Result for 00EDE916572C7EBCA39BF32450A17CC8C78A2D7C

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/command/__pycache__/autodist.cpython-36.pyc
FileSize2229
MD5CD8FDC43326D65B41CA75EE84A242171
SHA-100EDE916572C7EBCA39BF32450A17CC8C78A2D7C
SHA-2561D5D48658FA483F05913E0C1BED92EA62E1ED7D2C9F535E16A3398891596197F
SSDEEP48:KeyxlK6dkrdQvQyx6yIepl31yZgrZcfMpruuo+fT0jMruuqut9ixN0:Ke0E6dkrdAp6yIe/31+grmfguN+rPuvU
TLSHT1FD4132B11C99AEDEFEE2F1F8E58B8236931D813B070C6831C251A4F73E5A420D1B24D5
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
MD596F1E09D933D373B32E122AE47C30A69
PackageArchppc64
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
PackageRelease7.el7
PackageVersion1.10.4
SHA-1B1CCAA7A355D9E011C723E3E00B47E8446A7886C
SHA-256FB2DEBC3E677C4BABA71F9C43D29A4E385AF2D7FB2533258136DE29C102403E0