Result for 01DBF2D0565B5F2CD2BE23C2088C18B4D3FCBB66

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/ma/tests/__pycache__/test_old_ma.cpython-34.pyo
FileSize33415
MD5A98753F68CFEFACC56B738006FBE65B3
SHA-101DBF2D0565B5F2CD2BE23C2088C18B4D3FCBB66
SHA-2561F53922731D4A88E8EC9CC490BB26F920980ABD8F4CF0F6B76E641B5774C0266
SSDEEP768:n1XfMERLe7fe0qqiwzUEij+MWsWThZCSa7SAs78q9H:1XfbLE2TqXUN+MloYSSSAJqJ
TLSHT1BDE29391A7D289DFF481F1BAE434A3259EB7F44A2F217B215BB1E53C3EC4740D85A086
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
MD50267040506935B71B39F889A79C4F73A
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
PackageRelease6.el6
PackageVersion1.10.4
SHA-135C364D01C21E3C3136991BDE99C1966ABB19353
SHA-256559EE4FD1BADFBC54A48E429A18F220829DEA69858436CF695BBCBE6BA65C007