Result for 006A075F3D6C23D949CD3CD7B7116B00C8CBCA2F

Query result

Key Value
FileName./usr/lib/python3.2/site-packages/numpy/compat/__pycache__/_inspect.cpython-32.pyo
FileSize10830
MD548F734148B06839B81A2709D042BE344
SHA-1006A075F3D6C23D949CD3CD7B7116B00C8CBCA2F
SHA-2568AFC03E82E37A36DD0047F32F5E94921EAF0F5340947C8AD3A3115D6D471034B
SSDEEP192:FGROBwqjHquNlKJAG2Q6Hh5A57YG0yS3d7o0KND9bgUI:4RqjHquN8MQe5mY5n3d7KND5jI
TLSHT1D0227185BB6D05E7C6650278593A1716CF72F477AB002B55326CF2AC0F85A3A4E3398A
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
MD5B07E2281A03035A701C5EA61C7C4016C
PackageArchppc
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-10E0FE784D3D217F9D72D444E17AE47A274653074
SHA-2562C4AD94501D7176201A8A3BDBC115D750ADB40138968A1652D7CC6CB123FA58D