Result for 014C437E38728938993B19FB82DBF812C23AD97B

Query result

Key Value
FileName./usr/lib64/python3.2/site-packages/numpy/distutils/tests/__pycache__/test_misc_util.cpython-32.pyo
FileSize4257
MD50777614A1FBFD8C7EA59985398F98917
SHA-1014C437E38728938993B19FB82DBF812C23AD97B
SHA-256A33E508B69DB0E0EF375507DCDA2AD57BAFCD82D3D766F43F4A986A25B377E0F
SSDEEP96:apD02vm0CRIORI72KRDbaBtujnp0/QvLVsCdEonaYaurGdcl40Y8tW:al0ymbFG2ungt6nOovL9LalhdA40Y8k
TLSHT1DF91A19097FF09CFD26547BDA221073ACEE2F5E7B64467501170613E2BC83BB4D1A685
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