| Key | Value |
|---|---|
| FileSize | 83642 |
| MD5 | 6C985DC562F67A9FD1A07489431AE34D |
| PackageDescription | Python 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. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-pywt-doc |
| PackageSection | doc |
| PackageVersion | 0.3.0-1build1 |
| SHA-1 | E2857D6AC0A03B62A2555BC913D2C1C0F352F1A4 |
| SHA-256 | 565D0F88AD2F88346B3D44C037C80AD59CFF8DD9651A1DFA3234D38EE60E4C2F |
| hashlookup:children-total | 90 |
| hashlookup:trust | 50 |
The searched file hash includes 90 children files known and seen by metalookup. A sample is included below:
| 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-doc/html/_static/wave.png |
| FileSize | 353 |
| MD5 | 60103694FB5D45635F4BE1D96B2B0B35 |
| SHA-1 | 0E423C3BE007AFDAD67A33C1FE8DCCFCD902408B |
| SHA-256 | F241FE8BACA19A83A50112565EE6EDD0A0B29D5C1488A54476A7F1CBF296D7A0 |
| SSDEEP | 6:6v/lhPvGx/6Tb1VgYkawHKWsjGXGuh8KtOD37N0+NdXdsiQ6ZCRJKDLgp:6v/7mx/6TlkaywvAbtOGMYiQ6ZCF |
| TLSH | T1EAE060C028E608B3D2ECA5602BA81A23BD3B08B8268B001030975C483AE20FAD16C020 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt-doc/html/regression/wp.html |
| FileSize | 44673 |
| MD5 | DD73AF6F0F234E7FD6D519384AF341AA |
| SHA-1 | 102CC59A17749F5E5107EBC17ABEC053BDFAA11F |
| SHA-256 | 865A8C4E4C741049A500ABDDEFD763E4121EFE385F30DE489D15C29D568C379C |
| SSDEEP | 384:9iTCBkTfvndkYzxi4oWLOKkd0kh4g+VlW3B8N1yvUnBQF:9iTCBkTHmY0WiAz7GUaF |
| TLSH | T18D13CAE5E6F78173413389C396BE1B75B5E2586AE4820445A3FCA3BC47DCD847803A6E |
| 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-doc/html/regression/multilevel.html |
| FileSize | 16226 |
| MD5 | 6835094B057B0FEF1DDEC0A6FB01F8A1 |
| SHA-1 | 12760101EDB94058828954A93DAC8A4B7E86423E |
| SHA-256 | 90698AD1698912408B622DD4E193433E0192AB5EF9EED5DBAAFAD15E58FCE710 |
| SSDEEP | 192:1iHzCBlY9Tf2Z2nHOenbEbISbL1TbCEk0Zb18bI9bbXStXMN1zIv8XDnjQyi:1iTCvkTf9nHqBN10vwnjQF |
| TLSH | T12F7213D1A9F790730137C9C366BE1B21B4E1842AE4861445B3FDA7AC4BECD457C07A6E |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/html/_sources/regression/gotchas.txt |
| FileSize | 584 |
| MD5 | 83F8D423C4EA1776D0945ABF6CF57C80 |
| SHA-1 | 1AA2942252CE9CC9F0E3B94482B5E60EF4B13291 |
| SHA-256 | 0C9A7DB14CAEE42EFAA34D90BC7A636593465F2915D92EA8A4ED65CA36518BF1 |
| SSDEEP | 12:9MZo/idSjLBs3u/+erLdbCTN/EimZCmyFfmSgJYim9l5:OZoKdS3BscrJAN3QCJfwDil5 |
| TLSH | T180F08B9B2AE92C224B134AF6525F48D50732894389310DEC390F31B80BC2B5A031BADE |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt/html/_sources/ref/2d-dwt-and-idwt.txt |
| FileSize | 4688 |
| MD5 | F3E2BF341ECE1E13049EA81069E53965 |
| SHA-1 | 1B4162A16CE4DCA4BDFE6CD64C024587076DB1F4 |
| SHA-256 | BC1C381C28AA3BF6C4AF8307F33C987C90179FE096CD347F4195F989B26C2BB8 |
| SSDEEP | 96:DVq8yqLCv6D+ycwMY8jhVfZQrqL7nZ/MzVCiiqQ+mFSHni0HvqC:BNyquycwMY8jhVxQrqXnZUzMiiqQBcH/ |
| TLSH | T160A1E1DE2CD92DA74312D2B950EF1162E636B25B22245ACD341E7B7D0FFA324126C74C |
| Key | Value |
|---|---|
| CRC32 | 0E62C2FF |
| FileName | usr/lib/python3.12/site-packages/syncplay/resources/comments.png |
| FileSize | 557 |
| KnownMalicious | malshare.com |
| MD5 | 7F921EB272B341361812F386377DF256 |
| OpSystemCode | 362 |
| ProductCode | 15103 |
| RDS:package_id | 15103 |
| SHA-1 | 1BDC8530D46A2974538F13383AF8F485A5DA9209 |
| SHA-256 | A19EC1175D55D7F4F965A71E73D2AACDA4E9A32423616F34D1B7ED1FBBCD2C93 |
| SSDEEP | 12:6v/7CLzAzMDX+hvKAB7wLLT/U0Y59+t/xzGEeBE4V/vQP7ocR02I:j+hSESTpy+VZGEqE2/vQjofL |
| SpecialCode | |
| TLSH | T102F020CE702C9C89E3590862CE05C120B0268CBB1781AEB97F8E7545A6A8241A0F0E25 |
| db | nsrl_legacy |
| insert-timestamp | 1648737083.3494055 |
| source | RDS_2022.03.1_legacy.db |
| tar:gname | root |
| tar:uname | root |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt-doc/html/contents.html |
| FileSize | 11591 |
| MD5 | F3431F3927C4EE9357CB81514A794F9B |
| SHA-1 | 1DC9FB9D5FED74A93CAD6CA4DA0F2A139A1C31D8 |
| SHA-256 | 715EF6DD1CCB67DFB1D2A03943F9826407B1AE4FA4DA8DFC1A1ACFBEEE7D6D7F |
| SSDEEP | 192:ajY3HsC6FY9Tf2+Wn5/FaJgCmgCBIuhY1z6Qv8XOnt+yi:ajEMCkkTfmn5tW9qIuhY1mQvbnt+F |
| TLSH | T11F32632308C96937821346CAEEA237247987C97FC219499971FC315E4FA2F65CA0735F |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pywt-doc/html/_static/minus.png |
| FileSize | 173 |
| MD5 | F978CA14D79997D3D136F1A434F451B2 |
| SHA-1 | 261AEC7F6B80CEFE47FCA60836224C3EAEE3C478 |
| SHA-256 | 16A0C46D1B66A7B9216D4EB0B127C46C228801EFCA8BDFFFFB80DFF81F12FE1A |
| SSDEEP | 3:yionv//thPl6Jxnz2m2/uDlhlbOO1TLg4ep1f5Dv/WkTadG7EV1h3lH1p:6v/lhP8vzs/6TbebBCk6G7EbVp |
| TLSH | T1A4C080DB4B849D7BC19E117144170207D5631E8E3643254910DD455502A753CD655231 |