Key | Value |
---|---|
FileSize | 841548 |
MD5 | 30D8B196A63B63202624CA0378A35FEA |
PackageDescription | Pure Python implementation of Qwt - Documentation The qwt package is a pure Python implementation of Qwt C++ library with the following limitations. . The following `Qwt` classes won't be reimplemented in `qwt` because most powerful features already exist in `guiqwt`: * QwtPlotZoomer * QwtCounter * QwtEventPattern * QwtPicker * QwtPlotPicker . QwtClipper is not implemented yet (and it will probably be very difficult or impossible to implement it in pure Python without performance issues). As a consequence, when zooming in a plot curve, the entire curve is still painted (in other words, when working with large amount of data, there is no performance gain when zooming in). . This is the documentation of the package. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-qwt-doc |
PackageSection | doc |
PackageVersion | 0.8.3-1 |
SHA-1 | E8BF5788A7DD5592B6FEABE14CB9F52ED6F7A0F4 |
SHA-256 | 817B7ED73153C7B1795A77EFAA75425D8A36C412410F2AB0D047375B5130A210 |
hashlookup:children-total | 122 |
hashlookup:trust | 50 |
The searched file hash includes 122 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-qwt-doc/html/examples/multidemo.html |
FileSize | 15403 |
MD5 | DE71C6B761AABA412995A7C4FF33B4CB |
SHA-1 | 026E915DC746C83E11502B98488DAFC79598DEE3 |
SHA-256 | 84DCD4D19E56FB1DAEBCCAFB9779999C7ED98E8BF09DA84DAE7C0EFCC5B4EDED |
SSDEEP | 192:111Z1tTnnMGfk9BdIWwLSl0x3sy/zKE8F/NlsVXFDKuKuy0lCMv8XFWKVKeTKRoa:TltTnnTktoLwFTtFnD3+ |
TLSH | T1066211C1A9FA90734177D4C726FE1B26B5E1842AE4821540B2FE97780BECD847847DAE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-qwt-doc/html/_sources/examples/bodedemo.rst.txt |
FileSize | 140 |
MD5 | 7DDD26057E596E6092FC6986E060B573 |
SHA-1 | 02C81C2396C7E970C1855B49A079A26362C2A9FC |
SHA-256 | 24B1E2D383C772C0B2EA0FA833D193975AD6E6D79A8308EA63CB7E71BDA990D0 |
SSDEEP | 3:agB1TXbbyoTLsPRKzRWPRuktZLLZXEJMLeQ23wCRKzRWM2dXWR+RIENAXEtq7vn:aWaoMPw9WPj3dUJMLeQ2ACw9W3dXWRHj |
TLSH | T1A6C09B5FD56B2C97572B8623501584DDDDCDD074D1F94190701B5345B1B7CD411C767C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-qwt-doc/html/reference/plot_directpainter.html |
FileSize | 31845 |
MD5 | 62CEFF13D1B75E47961831D43BD813E5 |
SHA-1 | 036C7BE64BA585233B7704909A041C726FD0016C |
SHA-256 | DC3006E66088D0AC9E0D37EC925C8702EDF80846BC860F6B9F4A9B0E7F72754B |
SSDEEP | 384:t8npeiBB2YdcyFlDj4BL6chQw/lDjyn0ndA+:ioir2YdcyFpj4l6chQw/pjy0W+ |
TLSH | T1A2E2DE21A1F31D330B73D2DD83A51725B5DB8049F4C9082EB5FCD3A983C7D55EA2AA1A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-webpy-doc/html/_static/classic.css |
FileSize | 4256 |
MD5 | EE79FDE9B6A1C15FEA24FB21CFCF3ED4 |
SHA-1 | 067D6812F3CF0C908C76C02C54792F64B19BC93B |
SHA-256 | 465F63113BCC32A8A3BA952A7908D90E1B37426BD851B217486F126042DE04EB |
SHA-512 | 9C6E47485DD2629CC27693C96BD6759041B053AC99EEC0E2B08B4E2F70949100740CCF76DEF5E7B5D653535558867D297C0010A74B3AB8106DC741AE8CF0E138 |
SSDEEP | 96:XPHL0etfyE/NixJvPtbt/G+cGGN5VbqRj4eCF3R92odk:fr0etft/NixJnpY+cGGfbqRj4eCFB92b |
TLSH | T17C91CF06DFA30D43710BC5EA66FAD750F33C60434C4D8A7D3E69A6A48F4816456BEB8C |
insert-timestamp | 1662293887.3084686 |
mimetype | text/plain |
source | snap:SYQ6DTZsM1ajyZJXOSQyYE1oBGAlQBmp_82 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-qwt-doc/html/examples/errorbar.html |
FileSize | 50387 |
MD5 | 306B80010A0CDEE840416C8CCCF6CB54 |
SHA-1 | 0C57D6B897ED1A01C4B73EA0FA36F904E16AB5CC |
SHA-256 | 23775E99506810B9947BD54FFC260B66D37480B1EFAEBEE719408AF44E92031B |
SSDEEP | 192:DBZ1knqvJfQXvc98r9vM7eXRH4N6nvJCQGilXMzMlLiQGe/amK3M4NGSVC1RdT+k:lknq1Qj8dAoRag9zk+oLBOsnIp+ |
TLSH | T1703388C0EAFB9177017794C312AF0B62B4E1092AE4960541B3FE87784BECD947857DAE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-qwt-doc/html/examples/simple.html |
FileSize | 12795 |
MD5 | 40F032D3949DDAEC98884BFE282694A9 |
SHA-1 | 11F9018BA55130C2BE9BC7DC9D60ADE96BEA27A3 |
SHA-256 | 616BF7A92FB4305E7EFD82F44B46DE67EC68C257FFA17AD0A3EE9CB95A9FE205 |
SSDEEP | 192:7vpZ1rnJQP8HBFU/azUqU/AV/BV/vmUXFCfhGrqGNFCWW02WWSKaNchGtN9hNR8h:7ZrnJQPCBxMPmoLWPtn9fB+ |
TLSH | T1E94233C1A9FA9573017794D716FE0B26B4E24826E58A1500B3FD877C0BDCE883847DAE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-qwt-doc/html/search.html |
FileSize | 3380 |
MD5 | 62E3CAB76689EACC5DE8E3AEE8A56D15 |
SHA-1 | 15CB96274FDBFC12EDD6453678160BEC28A1B27C |
SHA-256 | BCA67E6127380E143C2C03925FD1ED18B009EDD24C00ED54668C63F2289D0AEB |
SSDEEP | 48:4LSiDmHEQ5x2D9Gyjmk4t9BLLU0UYmjUrlq5x2DPyjmk4t9Y4HUEs:DiDmkQ2D9ljmzvB8T882DKjmzvRUB |
TLSH | T1D96144029CF0A527406385DBAAF0AA1A3EC6D11BD62B690470ED076C0FC1F448D4FB9D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-qwt-doc/html/_modules/qwt/plot_layout.html |
FileSize | 187690 |
MD5 | 08AA7CF5077EF6FF2563DC8BC07BC887 |
SHA-1 | 16DB04D1AB6D36E2FA23000A3680A84FC21513E2 |
SHA-256 | B0CA01001AA557B973353097905BA51E9C09D082B4277BA467C0F9EC5EF6EFE1 |
SSDEEP | 768:A96P27rXEzJjooyZ8bH70CSN/xybKlDGrfb1JAEb3Av+:A96P2UJ9yZ82IW+ |
TLSH | T1010467C4A5FB90770177A4C316AE0B76B5E1482AE4964541B3FD87B80BECD847883DBE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-qwt-doc/html/_modules/qwt/text.html |
FileSize | 170272 |
MD5 | DDE09E3F9D84E011BA485C7A8D606C8A |
SHA-1 | 1785383455F4310252B64B1AD4DAB7AB97743E9D |
SHA-256 | C0BB222C1AE06A38A073CE6FB3482D3674775C4952BBD2EC6B2C0F86A2459E72 |
SSDEEP | 768:BxgRGJ9H0Z7awh8EHvaRaTvOjtfT1ICI83bYuqAyx7fhLBx8xF4GCYpU+:BxgRGJ9H0Z3h8EHva0v+oj71t+ |
TLSH | T1ECF3EDD0A9FB9173017B94C312AF0B66B5E1052AE49A4541B3FE87B847ECD943843DBE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-qwt-doc/html/_sources/index.rst.txt |
FileSize | 765 |
MD5 | C5B16AF17DADEF9F1ED0D68F1229CD41 |
SHA-1 | 17C98C1D45C89E32112FB1F244CCF73DE92C78FF |
SHA-256 | 0B737CF802E3D373407E232ED8B282E107759CD920CAA7D01C4BB1D4AE2A4921 |
SSDEEP | 12:WuKGKQeGt4H72G/kxkcWfxBTCY5eFCZtP4o3CP4E8cEJoQcCfpNlW:gGK+K5nRBTCPFawPLLooQcCBNlW |
TLSH | T15D01658A7A26967221B9802F473D6206E163B00771178852323B404C7BB8400EFEA7CF |