Result for 0E423C3BE007AFDAD67A33C1FE8DCCFCD902408B

Query result

Key Value
FileName./usr/share/doc/python-pywt-doc/html/_static/wave.png
FileSize353
MD560103694FB5D45635F4BE1D96B2B0B35
SHA-10E423C3BE007AFDAD67A33C1FE8DCCFCD902408B
SHA-256F241FE8BACA19A83A50112565EE6EDD0A0B29D5C1488A54476A7F1CBF296D7A0
SSDEEP6:6v/lhPvGx/6Tb1VgYkawHKWsjGXGuh8KtOD37N0+NdXdsiQ6ZCRJKDLgp:6v/7mx/6TlkaywvAbtOGMYiQ6ZCF
TLSHT1EAE060C028E608B3D2ECA5602BA81A23BD3B08B8268B001030975C483AE20FAD16C020
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