Result for 01735F1E38995A5F5E7D3945F49B585B1FD545F5

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/doc/__pycache__/indexing.cpython-34.pyc
FileSize15863
MD5AD80E5C057472879E2AE43BEB3158C95
SHA-101735F1E38995A5F5E7D3945F49B585B1FD545F5
SHA-2569EAC3A9CE2F4E350CFC100D038393B9254CC0DFCEFAFFCEFF5DA4A920AE2F08B
SSDEEP384:VD5oRm6Ohb0JkDJlqn8Dmhn4d2RSePi6esfNhZVTmn2SHSvM3AZxqbPIvt:VuRCb0JkDJlECqSeq6pfNh7mhSvF
TLSHT10062A5122FC6237D06A640F0855E6DDB873A847913A985EA301F5DB827A5B39433E7FC
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
MD51E79F24F1CE2383809BA0458F954C643
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
PackageNamepython34-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-117672A0EDC2E9E0C83FED6BC39A2F15D022B1EBA
SHA-256E770185F352B907E2CF9FDF63655E53B11C4226E938CE1C687DFA3050DDF2FA4