Result for 01EFBC847C2482F6081AEAD889542C00653157B6

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/matrixlib/__pycache__/setup.cpython-34.pyo
FileSize666
MD5242EC835E434F9E9D99EF5540C553DFF
SHA-101EFBC847C2482F6081AEAD889542C00653157B6
SHA-256BD54BD65687301AC53AB071E44781109B6E2C3D3EE72AF93DC87D0B5B5A3702D
SSDEEP12:w8lT/SKJjBk80KpW4kBmb4IW5axx0xqMiMhoqgAARxQhGGgBrKiufxbUvthhvlBG:n3tBk5K+oSlx3iMdRhGfbKBUFhhvgiM1
TLSHT1B10102C107490E8DE91D37B6E08AD7264DF4B9F7777073022D1A42392DF43820952D01
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
MD5DA6F5C2043671AEB08592C3F69D496EE
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
PackageNamepython34-numpy
PackageRelease3.el7
PackageVersion1.12.1
SHA-1F5617464497BB85F3F75430BAADDC6A3DDD824DF
SHA-256BB521F417262BEEA6394978A021D156B120F8C25F9FDCE8CA6E088E9F2CFDE75