Result for 0E37060E08D29D8BA32E8F907C705ACE3AB2433E

Query result

Key Value
FileName./usr/share/doc/python-pywt-doc/html/regression/index.html
FileSize8029
MD5CE43ACA59C2A655C684744019CD0BA32
SHA-10E37060E08D29D8BA32E8F907C705ACE3AB2433E
SHA-256A1BD799017FE9116FAD04CF6B7477DB332384D1F0FEA7F94B63F221501A3CCC7
SSDEEP192:p1NcCY9TfMZ58nYiYZtXdk+Q+QvJQX+0nYgWLBk:p1+CkTfA8nJYZtXdk+BQvJH0n9qBk
TLSHT1D3F1B6971DE0A863521385E6EDA5B714BC53C19BC2056C84B0EC3A9ECF82F14CE4B34E
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
FileSize97252
MD50846547A1CFD9CF81FC54630B16E54EB
PackageDescriptionPython extension implementing of wavelet transformations (Documentation) PyWavelets implements the discrete wavelet transform (DWT) popular in numerical harmonic analysis for numerous families of wavelets, including Haar, Daubechies, Symlet, Coiflet, biorthogonal wavelets in one and two dimensions. . This package contains documentation and examples.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pywt-doc
PackageSectiondoc
PackageVersion0.5.1-1.3build1
SHA-1DF9F59EAD6F19D7C2E8B576CA3B4E507D20C4C69
SHA-2565A5C8CD2B95510820E5CFD59B5601CC66AE84BA48AA6EA57F19697F8BF9AFB34