Result for 067DAACC2DB075C73C6A79F02572BC40C8ECBA34

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/__pycache__/matlib.cpython-34.pyo
FileSize10187
MD565B1C0A122B899C74B97FE68D9F0F5D4
SHA-1067DAACC2DB075C73C6A79F02572BC40C8ECBA34
SHA-256687C8BA9CC780C176155680E27005CA893C11911633AE76736B9F4BD502CA87F
SSDEEP192:zum+fMwDX+6pOywWTn1lkhX5wlHrDbkK65wxQYehtyKa297gzhqFdGVvbxU4ojtW:zB+fhpDT7k6HLJTabHt7gzsOVbo7jp4x
TLSHT1AD2201062F855AAEE292FBF7E1FA0C03DE64D0371E49791530DE60741F6BA62217C788
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
MD578133D1457A5BDDAE3A3A32EBB3FC147
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
PackageRelease6.el6
PackageVersion1.10.4
SHA-1D4EB92D23EE3CDB4F0E17E4A867CFCEDBB0448BC
SHA-256AD1D92118A3797FA00CD9D4C4A6DCF8E588045EF53BF53FB21B6C0FAAE6E27C7