Result for 012E9CC64191549E238F2B6A12225557770D58B7

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/matrixlib/tests/__pycache__/test_numeric.cpython-36.pyc
FileSize1129
MD5F53DB923911FCFAC9A84BDC834BFB3D2
SHA-1012E9CC64191549E238F2B6A12225557770D58B7
SHA-256462CD0495E1BC7737749992EAEDFE5DA6F37606FF730927DD97916870BA6C0FF
SSDEEP24:I0xE5/8VIZzBkUTvkMrCuknxil5rVOskgyxVTkFdnge+D:NE+V6zRDkMrCukclyskfgFdndy
TLSHT1B8211F0847829EBAFD85F7B6402A83368476613B57588201DF000DDABD432E649B1B81
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
MD539F3D3DFF705D2555CF90AB236B0F81D
PackageArchppc64le
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-1753660EE09268590143BFEC77D0574CD37EC0CFE
SHA-25625FFD2686345D94E6F625287B5685998E767F2F71623E862D950C60E7AC5BC88