Result for 01FDF6844621D5EAE3FFC9524E521C114ECEFB30

Query result

Key Value
FileName./usr/lib64/python2.4/site-packages/numpy/core/records.pyo
FileSize22537
MD54C82B5DEB81423020BE28E522BE89B39
SHA-101FDF6844621D5EAE3FFC9524E521C114ECEFB30
SHA-256C629415732D7C8A5E3D5E56D695C9BF1B95C15E48F6123D1BACEF31BC315AD05
SSDEEP384:9aARBrLfBx8nN3PRp7tDHmS4pf1RwB5aZMfTo+cJxbbh77oz4KBdqt6rxkL23QL3:9aARhfBx8nN3PRfDHmSOd+XaafTo+cJf
TLSHT1CCA28289A7C406BBC69501B944F85B079BA2F57B8601A74570AEE43A2FD8398D53F3CC
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