Key | Value |
---|---|
FileSize | 508434 |
MD5 | 64D94C13C93C0FE562F69703C324DBA3 |
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 | Debian Python Modules Team <python-modules-team@lists.alioth.debian.org> |
PackageName | python-pywt |
PackageSection | python |
PackageVersion | 0.2.2-2 |
SHA-1 | 6451F3EF3B19DC2FBDDDAF996613AF9AF2F0B6D6 |
SHA-256 | 8C5C1BB43FCF8FD8DF498D77B7E7B748FCA7DB9FB0D6EA382F964D8AEF103942 |
hashlookup:children-total | 114 |
hashlookup:trust | 50 |
The searched file hash includes 114 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/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/_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 |
---|---|
CRC32 | 98554491 |
FileName | usr/share/doc/vigranumpy/_static/up.png |
FileSize | 363 |
MD5 | ECC373278454CC8ECC12D6CA69E55B36 |
OpSystemCode | 362 |
ProductCode | 187351 |
RDS:package_id | 222721 |
SHA-1 | 15B919F770C81058A273EBB2AA78FB501863C8E0 |
SHA-256 | 36946056F97CC557C78918D50B635167168D5252523E61668746F3A64D1139C3 |
SSDEEP | 6:6v/lhPkRfCtldfSvmgMEpvcARt6eL6+dQQ0w5YQV2Re1glb6EnDTJf7BlmNm0kdp:6v/78fidfSvmJSvXse12Q1N1gJ6EnPpX |
SpecialCode | |
TLSH | T176E0C0C9ABA328B4DAC5D07B331B92331871014C9A0BBAAF3E5768DC471D6085D03F52 |
db | nsrl_legacy |
insert-timestamp | 1727040700.5833828 |
source | RDS.db |
tar:gname | root |
tar:uname | root |
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 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pywt/html/genindex.html |
FileSize | 18655 |
MD5 | E4CEB7809775E7ED5F8249B3E3755007 |
SHA-1 | 15EA43E041D8CE772C0E2FB7096C976FB9924027 |
SHA-256 | A3C1A87685DE1F3F67052CA67218EEFF5A0456B9631306BD1412DEDF5ED2E6EB |
SSDEEP | 192:cXbCeVXlUK1DNDFdoxdjV73dqP/1zpv82Xh:cXbCW1Udrqn1VvJx |
TLSH | T18C820EDAD2D06146FBF186A286A02D19BE8390D7D3406CD4312D7897EF16F5C086B7EB |