Result for 148809198404F1DB0A013EF49DDAC16154837733

Query result

Key Value
FileName./usr/share/doc/python-pywt-doc/html/_static/wave.png
FileSize353
MD55648DC8467CC5C041389C8F05E3F13A9
SHA-1148809198404F1DB0A013EF49DDAC16154837733
SHA-256BB5736D01381CC52184321F4EB58F58CAEA66048490C0B43236C37FD381FA6A4
SSDEEP6:6v/lhPvGx/6TkntJVgYkawHKWsjGXGuh8KtOD37N0+NdXdsiQ6ZCRJKDLgp:6v/7mx/6TktVkaywvAbtOGMYiQ6ZCF
TLSHT14DE0C0C428E75977D39CA9652BB91923BE3B48B8268A4000745358493AE60FAD1AC421
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