Result for 0160C0CFF76B9F001730E03EBB3E561D9CA38570

Query result

Key Value
FileName./usr/lib64/python2.4/site-packages/numpy/testing/decorators.pyo
FileSize4613
MD50CCE6C21D5CA9E7EE62E1C864598CFBC
SHA-10160C0CFF76B9F001730E03EBB3E561D9CA38570
SHA-256A335F8D4207DA25CD0C94214A1F6A7D4F60B35B269374B9CC73EE76610EB5C0E
SSDEEP96:UIaBVVDDfBbwAP2/RHyFhBD0QG6SN7ADq2/RHyFce5JPGWIK:kLDD+a2/RHODfSN7qq2/RHOcevH
TLSHT1D8911F5675C96962C0A9C17050DA413BA730F47F9202662370EDD0BB2F4E278D73EBAC
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
MD59CA545D5E5697111541B34BF84BA29E3
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. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project <http://bugzilla.redhat.com/bugzilla>
PackageNamenumpy
PackageRelease2.el5
PackageVersion1.2.1
SHA-185A0EA67F19114FE0D3DE063DF5C6AF290115ED8
SHA-256CEFBDF88AED83E2F288FDE4FE0C044B53348F31C86D5F185D95E225553B9881F