Result for 006037B25A36C6DB443B2D8D477EED78131E9815

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/__pycache__/matlib.cpython-34.pyc
FileSize10187
MD531E25414E7DFA3D9388C07D50DEE9FB0
SHA-1006037B25A36C6DB443B2D8D477EED78131E9815
SHA-256ACDD03FC7857C6C99D8E816219518A4E8C5F48E723883F8F1DB18C3B7E1ADA4C
SSDEEP192:7um+fMwDX+6pOywWTn1lkhX5wlHrDbkK65wxQYehtyKa297gzhqFdGVvbxU4ojtW:7B+fhpDT7k6HLJTabHt7gzsOVbo7jp4x
TLSHT1902201062F855AAEE292F7F7E1FA0C03DE64D0375E49791530DE60741F6BA62217C788
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
MD5DDE5F9FD6C49C19FAAD5BB5097437261
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
PackageRelease7.el7
PackageVersion1.10.4
SHA-1D0D8C8E27A9D4FFF267ADD822C85DCDC9061D309
SHA-256C9D965B99E03D086D84DDC23CB06EF23C585ADAA6E459C47B43DFE2AF3246D46