Result for 261AEC7F6B80CEFE47FCA60836224C3EAEE3C478

Query result

Key Value
FileName./usr/share/doc/python-pywt-doc/html/_static/minus.png
FileSize173
MD5F978CA14D79997D3D136F1A434F451B2
SHA-1261AEC7F6B80CEFE47FCA60836224C3EAEE3C478
SHA-25616A0C46D1B66A7B9216D4EB0B127C46C228801EFCA8BDFFFFB80DFF81F12FE1A
SSDEEP3:yionv//thPl6Jxnz2m2/uDlhlbOO1TLg4ep1f5Dv/WkTadG7EV1h3lH1p:6v/lhP8vzs/6TbebBCk6G7EbVp
TLSHT1A4C080DB4B849D7BC19E117144170207D5631E8E3643254910DD455502A753CD655231
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