Result for 00966E86BB085A20DE5BDE830A079C9716835A29

Query result

Key Value
FileName./usr/lib64/python2.5/site-packages/numpy/core/tests/test_memmap.pyc
FileSize2372
MD5A8DDA85DFDFABFB1F0B4B6847F7C632F
SHA-100966E86BB085A20DE5BDE830A079C9716835A29
SHA-2562CBE1114D03AFFF02B8668F6BFD65407A092AC834C8A6AFD4BE5AEC970957F31
SSDEEP48:yDEAnl5QWbYXJQMqd5mQ7lKFSQfjTh351e7QzHQJeQXlX:Fo7UX2Mqdd7lKFXfjTbzwJ7XlX
TLSHT1DA41C3D1E3EA4A47D9F90974E1F40327AFB2F87A67017702052DA03D6AC8316D47A789
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
MD5A84675739B37CDCD8B6BCB873A7033EF
PackageArchsparc64
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
PackageNamenumpy
PackageRelease1.fc9
PackageVersion1.1.1
SHA-14A6E6B76C47350E5563002A310F610FECC0FFEC8
SHA-2567CFDBE968E3B476D6991A7EACD265BD2B81F88106F1D184B911C734DE270669D