Result for 00C9B5E0CFAB48AC37C00A8A7FBB0767BEF7BCCC

Query result

Key Value
FileName./usr/lib/python3.2/site-packages/numpy/lib/tests/__pycache__/test_arrayterator.cpython-32.pyc
FileSize2680
MD56781622F37A7AE12F34B8075AF71723F
SHA-100C9B5E0CFAB48AC37C00A8A7FBB0767BEF7BCCC
SHA-256C61BB5F21037645ADCE19F9912F26A109AF57BB8014564C89C0330B024142413
SSDEEP48:zUP+EIOP52OkyAQFZyA9S8JjyACS8JjyAQiQ6xvvT6t5A9WN+5OzG:QNRPMpyzZy+SCjypSCjyzWdTkAv5mG
TLSHT19D511260237E42DBD2B57B35E1715312FF72F067A7422F472228D8996EC833B251A198
hashlookup:parent-total1
hashlookup:trust55

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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
MD5FBF10AD580803C3B3B343430CEFC2966
PackageArchs390
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. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-125FF27D5691DF5F5B60959A68C8B650F42B4E892
SHA-256125A47CF9F58E8DA9B43E89038A9CD3AEA8427CDD101887E6EAE43FF833E3BF5