Result for 12760101EDB94058828954A93DAC8A4B7E86423E

Query result

Key Value
FileName./usr/share/doc/python-pywt-doc/html/regression/multilevel.html
FileSize16226
MD56835094B057B0FEF1DDEC0A6FB01F8A1
SHA-112760101EDB94058828954A93DAC8A4B7E86423E
SHA-25690698AD1698912408B622DD4E193433E0192AB5EF9EED5DBAAFAD15E58FCE710
SSDEEP192:1iHzCBlY9Tf2Z2nHOenbEbISbL1TbCEk0Zb18bI9bbXStXMN1zIv8XDnjQyi:1iTCvkTf9nHqBN10vwnjQF
TLSHT12F7213D1A9F790730137C9C366BE1B21B4E1842AE4861445B3FDA7AC4BECD457C07A6E
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
FileSize83642
MD56C985DC562F67A9FD1A07489431AE34D
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
PackageVersion0.3.0-1build1
SHA-1E2857D6AC0A03B62A2555BC913D2C1C0F352F1A4
SHA-256565D0F88AD2F88346B3D44C037C80AD59CFF8DD9651A1DFA3234D38EE60E4C2F