Result for 007FC976CA07BF29710C7DDE9723E674A8AF7375

Query result

Key Value
FileName./usr/lib64/python3.2/site-packages/numpy/distutils/__pycache__/__init__.cpython-32.pyo
FileSize1084
MD53980EE3A703CC231304295A145698B81
SHA-1007FC976CA07BF29710C7DDE9723E674A8AF7375
SHA-256ED64CA4F0508207D830D8650B32E749EC56143BD5DAA1D3DC294A84FA387DF6C
SSDEEP24:B79vmiBrXz4L7IC5StPICVViM1iMALiMezViMSiMDliMlZOeAHK+zJ:HvmU4ICYtPJB1BIB+VBSBBBlZXpa
TLSHT11311EF5D033E9DD2E6BA1B78E3104229DF32FCEA2E6569600534B4515FDA15BAC1F20C
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
MD5469203E0BDCDC5234B4C4A56B661F64F
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.
PackageMaintainerKoji
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-1619291A1C44DCA95A0F036CED41CC8C1140D19E0
SHA-256F8F929892BB436953D598FCEDF5140AC0700A5F3FC5E409B86539A7854E8616C