Result for 024304F30FB70E2F018A5D2ACC9590CCF401937C

Query result

Key Value
FileName./usr/lib64/python3.2/site-packages/numpy/core/tests/__pycache__/test_multiarray.cpython-32.pyc
FileSize124626
MD5854BE219749667BACCB74F944100FE6A
SHA-1024304F30FB70E2F018A5D2ACC9590CCF401937C
SHA-25664ECCD8D396566F414D8ED8407947A87C886F48B229196212F957297CCA9851C
SSDEEP3072:STZMH+MK4BUaDJgeWu7h+dQcXWxrTT8+/B0MT+90bGUSc1KgSrwvBrZumff42jCD:SqHU
TLSHT137C3EE51ABFE5DDBC1F40BB9A5705316EF72F492AB007B021261E47D6EC837A0C2A9C5
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
MD5A8624F0ED48BD4AFBAD3D3C766D77DE2
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
PackageRelease2.fc17
PackageVersion1.6.1
SHA-123E0359C94EB873D68565614B3E47257A043B0DF
SHA-2567B7C4F6ED29FEA4ECDC2D502C751109925F155ADB2F722860AD5B21044D0DFF9