| Key | Value |
|---|---|
| FileSize | 427126 |
| MD5 | 2A116A7ED4F988CE5C96851F514DAC82 |
| PackageDescription | Python extension implementing of wavelet transformations 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. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-pywt |
| PackageSection | python |
| PackageVersion | 0.2.2-2 |
| SHA-1 | 3757F411BA719BF6D1932B83B62599482C3D0118 |
| SHA-256 | 4E38F808CAAD75FC425912F1A073F5F60FFC61A55E014449AD4EA4ECD0FF4636 |
| hashlookup:children-total | 113 |
| hashlookup:trust | 50 |
The searched file hash includes 113 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/html/regression/gotchas.html |
| FileSize | 10856 |
| MD5 | 7E961EDA1284F9B93A4D49C6EB06C68B |
| SHA-1 | 002DFDB67095BC41A2A81EF6BF949E21153E7190 |
| SHA-256 | C90E94AB67D256072D5EE943F00394AA4BF3FC9AA6996A4BE2686E00C750F01E |
| SSDEEP | 192:niWCBlsY9TyVPuSuNXnrfbP9EkT7tiXbV4t4tb34sHe681zQv8/nr7bJ:niWCMkTyVPuSuRn7bPyksHe71UvQn3bJ |
| TLSH | T18722DFD6A9F29473413388C399FE6720B9E2806BD1451885B2EC766D8FCCE847D07A5F |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/examples/data/aero.png |
| FileSize | 169569 |
| MD5 | 55CD3A79A6032A027F47750F5002202F |
| SHA-1 | 00F67E34F87AF6BE987DDE76DC3368A9C25C2E29 |
| SHA-256 | D78AC355A11C07597651CF4CE6D7ABBEA8D5A1674AF4B97DFEB496AF61783AE2 |
| SSDEEP | 3072:ycgnsNUKrIHENpj4Tgb0Zb7MYBm+im8eKzoaIrM6EnVdc11gD2xkaZnYnCkU7YZM:ycSGXrUEbj4Tgcrc+im5KErM6EA11gDk |
| TLSH | T1C6F3128267C91C4CB57D8F24486E0FEEB5D07F8256B8FE1CF09200A592BAD989320D76 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/html/ref/idwt-inverse-discrete-wavelet-transform.html |
| FileSize | 25047 |
| MD5 | 21A9E8421EE82FE95F415B8C88C39FEF |
| SHA-1 | 0310AEBE31AD2B5D84B9780D3C4E0435A901450B |
| SHA-256 | 079A564F25A6D3934F5276C2D578849F30E90A7A56E24FD5F34DEB24978E247D |
| SSDEEP | 768:2iWCNYkTwPuSXPSSQMGYWCZgg0Mj1eMQFEnEZDQ:vBlwPuS7TLWCpHBNtL |
| TLSH | T152B297D6E9F69533053388C396FE1B31B1E1446AE4860485B3FCA3AD0BDDE557C03A6A |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/html/ref/thresholding-functions.html |
| FileSize | 13380 |
| MD5 | DCE10C8D8F4ACF3DC4A3BBD5F4E36EC8 |
| SHA-1 | 04C1C254440D80BA5A0F94C56009214CF31222DB |
| SHA-256 | 28131F86B4EF58452EC746048DCDB0E41346C12AE37F22E0E0E87681C96CAB32 |
| SSDEEP | 384:8iWCNkkTyVPuSuPnYbsAyUsxOUsGJUsG4Usoe71JvMnObQ:8iWCNkkTwPuSsgsXUs8UssUsbUsbMSQ |
| TLSH | T1F952B557B9D0692B192345D6CEA95734B6D3841FEA000888B0ECE99F9F42F40DC1BB9F |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/html/_sources/dev/installing_build_dependencies.txt |
| FileSize | 1577 |
| MD5 | A10E55C24DED85E53230B69917D1639C |
| SHA-1 | 0B036FBB4562CBA1EEE95B98BF88B2136622462E |
| SHA-256 | 5BF55C2A15EF8EDBC985B261A138B8112B7CF4E1684434EB96529A01B83E32AC |
| SSDEEP | 24:0LTL+r2ciwpcc8WNwLlBDfLcgQeVLQJSNwLjwqNoHcpXCcARLbyWRZaLk0H:nyHKqWN+BUgQeV8PPNa5jRmT |
| TLSH | T1F2311E4E4C00A9B8FF20D7BB93F71246D31252EB7AD2A54084BA98407243B5A117EB6B |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/html/search.html |
| FileSize | 5702 |
| MD5 | 2E5412E7E306D84C3B5314B242DF0CBD |
| SHA-1 | 0C61B369D90AD54F07E391A6AC0D30D473BE3907 |
| SHA-256 | 46907DC93C01411427626300ED7CF66C3677319BDCA5B6C49B4000E826690EA8 |
| SSDEEP | 96:066fOUBCd09MD9KIX62CnW6Za8rk++jPEk4PjlB+v8/DRIX61e:0XpC/VX2a8nqPP7v8mXh |
| TLSH | T17AC1959A7CE1E01385218993D8B2E919BE43C06B97155848B0CC765EEFC2F858E1F78F |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/html/_sources/regression/wp2d.txt |
| FileSize | 12611 |
| MD5 | EF3C6DFDF6D56B44AE2DE6BE586F7346 |
| SHA-1 | 10356D4DA5E1D7E3C2287CC45CBD0D5C4C665329 |
| SHA-256 | B1F257786D547C0F8E39A0C19336C4E24FC9759979976542B86285135F3E8D88 |
| SSDEEP | 192:HyPFL0t71ycwc1SrwyPjtMP0EIUN+AZBxfMA0oUgw1:HyPFL0JDwr2sW+AZHXRM |
| TLSH | T16F42E01F2DC05BF0E252D6B8866F8050832DDBBB626CA68D306EF67C1F96554663D2CC |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/examples/user_filter_banks.py |
| FileSize | 1453 |
| MD5 | BF289B06A943EB7DD642130447BFA196 |
| SHA-1 | 10C86050FDEFC16AF1DBB636C4FBF66835AEFC02 |
| SHA-256 | A3AEDF60272209D1661F85ECE7EFA60683F4AAF4BFAB2BBEE17697CDFC5F7BCB |
| SSDEEP | 24:mT50T0S8S91S98AzsurPeczVyy2aGW2/WTK51Ma:a0TN+8AsujTpn25qMCa |
| TLSH | T19B31BEE1F7C404DD5306C6E2E1C41E019C32D856CEDB7CCE295CB8D8E565826E6757E1 |
| Key | Value |
|---|---|
| FileName | ./usr/share/pyshared/pywt/numerix.py |
| FileSize | 1535 |
| MD5 | ECCF4E1219780683258502D649D16A44 |
| SHA-1 | 14D69610BED4AD2EF8A8986A4F77E741CD8A271F |
| SHA-256 | 15C96800A83F32EF6CBA3AC295E5F10CA3CE78024E534CE5C755CCF229A0F7C6 |
| SSDEEP | 24:lw8wLV9uuQmAs/2Lqecc84OLOp5t4FLTT7ywyWwyOvq9yjyfXWx5nkSXDECi0o3L:x6+rPju684OSnt4FLTPywyWwykq9yjyB |
| TLSH | T13831F0973676A03D9E82C81989A2D50182386F57D9473C5CF4BF8A703BB462AD5F92C8 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/examples/dwt_signal_decomposition.py |
| FileSize | 1709 |
| MD5 | A3759967461098E05F2125847A16F1E0 |
| SHA-1 | 15DE5DDE72F4A5B29CA2897DBD9AF209E437E8D2 |
| SHA-256 | BF99ACD0CD54CB2810B62E4BADBF21E67052C5E5C5F147CBC9DD9FD271988C47 |
| SSDEEP | 24:m6aMVTFdO+Vh/1SQASLmmJTPTclouMid9lUXU:BdOoh/oQASBqZ3qk |
| TLSH | T1CA31C055B1EA4831E393E8BC90C2A151571075FB479C685D738C6FE94F071E4E2B4F64 |