Result for 1405A43A6235256E47A3082403F70F6AD0D5BCF4

Query result

Key Value
FileName./usr/share/doc/python-pywt-doc/html/ref/swt-stationary-wavelet-transform.html
FileSize9813
MD5677309CBA0B0562BC83D0C1A96241598
SHA-11405A43A6235256E47A3082403F70F6AD0D5BCF4
SHA-256A31E4619358226C8020F0F93B5822F0065BC98B6C368F9CC8FFEC1C8BA334DC7
SSDEEP192:9NNMaY9TfMZ5hn0m/4kV4X4cY8ks+VvJQXWfnqfI:9N7kTfmn0tkVVvJfnqfI
TLSHT1181286931DE085634A2342D7EBE56725B9A7C09FD11628C9F5AC374E8F82E498D0B70F
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
FileSize128352
MD5BB579E4279C0DAABAA177C1528AF1163
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
PackageVersion1.1.1-1build2
SHA-15E3A05AF0968D2E1350D45B5A71BCAB881C4D20E
SHA-2569BA0D2696BA20AF1239AD121C4805005C64E2989E9CF936C16222D0CB8882998