Result for 00C7713B67A677CD23C7E8F5F8797BCBBD506911

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/matrixlib/__pycache__/__init__.cpython-33.pyo
FileSize422
MD5B95C8E4C5369DA18DD1788CD089C4DB7
SHA-100C7713B67A677CD23C7E8F5F8797BCBBD506911
SHA-256FB699BF1BB3D47DBCB1C6B9BCE74A10317250EBE58FAC02295DF50FF1A658794
SSDEEP12:kml7X7sbQ+vQ/VaTcgjmAX1HOesBrKiJ2atKk:4Q8pTHZOeUrzB
TLSHT1A5E02285273E6BD2C9592731E04202698E2AF8E3AB012E0212A471FD1EC21AB0C6F245
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
MD5F43FACB3567683951790F3BE5441A286
PackageArchppc64
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
PackageRelease2.fc19
PackageVersion1.7.1
SHA-16E7FD7E9E168126EDDD9DFDF156F6619493607C4
SHA-256E6464D8F868D61B70F010F7CBC198252B4D3F835A15F3A25EE1DC16942DF528A