Result for 02C8A25667B5869BC9C08B19D39F083FD6636457

Query result

Key Value
FileName./usr/lib64/python3.2/site-packages/numpy/polynomial/__pycache__/polynomial.cpython-32.pyo
FileSize29949
MD53EBB2EE5DE17CA98D113C1B209A94AEC
SHA-102C8A25667B5869BC9C08B19D39F083FD6636457
SHA-2563DAA413161F544BED4DDDF09ACD3B649C499263B03187D98B484C4CAA143976E
SSDEEP768:XdTEW2Y6fcAq2AOKc90pPfXN1RIcJym1g3sKQ:tTd2Y6fx+9c9YXN1a2f1g3sKQ
TLSHT178D2B5052DEC16FA8252C9F6A0FE6103CB73D06F69046A0435ADDDBC1F93B32167E659
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