Result for 0344A92353D9FB274D6FB1CDD7F12B5724A9C4CE

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/core/__pycache__/generate_numpy_api.cpython-33.pyo
FileSize7292
MD5AABDED6F08A4014FDB0699BA0A56627C
SHA-10344A92353D9FB274D6FB1CDD7F12B5724A9C4CE
SHA-256D6FCE81D121C92DCF10791702F0F825AA31F7077D329CDB29540B90FBC562917
SSDEEP192:HmZIu/5+KnDzRr+6AHIRBPmi8DFWU98MxY+IlTrLWVhE+G99:HmZIe5+aDwzmxmi8DFbGMxY+IJLWVe9D
TLSHT12CE194583FFCE4F68165867840B18101FB31D65B4704ABE0B0DD96EA3FC0B2256AFA4E
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
MD5D9909581BDF8C27A0A139C2043E2BBB3
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
PackageRelease6.fc18
PackageVersion1.6.2
SHA-1DE6C7C1C824119EC04019EAD62F438AB9401D0D3
SHA-256B64D97713EDBDF1234A417199486DB4F5498EC036D37D79AF7ECB7615EB3EA46