Result for 0E519EBD19C417F375C11C31195607DBC6DA04AD

Query result

Key Value
FileName./usr/share/doc/python-pywt-doc/html/ref/wavelets.html
FileSize48006
MD5CC0E8095257D03D8F6101291C31CE5AE
SHA-10E519EBD19C417F375C11C31195607DBC6DA04AD
SHA-25625950B796F810C0C8C733863A95CDB37BF0F62BF84152B8B68F846F63837E928
SSDEEP768:UNXQkT5FzxjXzXXVnXAWCXI/GCXmvXkESNITnufz8XtXfC/XQl0X2ZtNmEJcFJI:c9jzxjXzXXVnXAWCXAGCXmvXkIDufz81
TLSHT1AA2354D5E2F79437023385C792EE1B35B0E6446AE04205D1B2FCB7E887DDC84B916A6E
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