Result for 00D6BBA7971734F3C6D080F68DC4D6D6E6A3D1A1

Query result

Key Value
FileName./usr/lib64/python3.2/site-packages/numpy/core/__pycache__/numerictypes.cpython-32.pyo
FileSize30605
MD57467E5DFC597BF907F9A20B1448CD473
SHA-100D6BBA7971734F3C6D080F68DC4D6D6E6A3D1A1
SHA-25684456924ACBBAAE1D9D74E39CC0ADE74B812556F599FEC2BC8A151254D22918E
SSDEEP768:jngw5+DmCiiY+XBRMey/uqQNHC++FKGnA:t+iCiiY+XB/y2xNHChFKcA
TLSHT11DD292806FAC14DBC7B187B555F24252DB62F4FB16803F8936ACA1749FC1336562E38A
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