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Created with Raphaël 2.2.024Oct1614121028Sep201911429Aug23Jul161587411Jun28May191220Mar1917161531Oct271413123Aug26Jul1715654327Jun2523213131May24211920Apr18136315Mar1126Feb25239Jan87543130Dec272524232221181754225Nov23222018171482131Oct292827252015Sep19Aug136549Jun876131May2925243223Apr22131128Mar2724212018106523Feb21201918176531Jan2923Dec2120181715131210fixing all testspyproject.toml installationremove rolled blade datasetcleanup. remove unnecessary and complex code. remove unidentified bugsinteger fixmaybe working? performance is bad thoughoptimization improvementsintermediateoptimizer improvements - but still not reliable?adding stationarity score (lowe value r-> stationary signal) as the algorithm wasnt able to handle instationary signalsthere might be an instationary error and a stationary error. we can work with the instationary error, because we are minmax normalizing the series in the beginning. the series might start at 1 and goes to 0 or the other way round - it makes sense to allow a small instationary error which is controllable with a minmax normalized seriesintermediateinitial midline optimization commitinitial midline optimization commitsimplify optimal window sizeimplement test singularityimplement test singularitysolving merge conflictsolving merge conflicttest docsusing scipy simplices instead of removed vertices (version update)define matplotlib backend (new matplotlib version requires this)replacing removed UniformGrid with ImageData object (pyvista)version updatesversion infoversion infoMerge branch 'cleanup_clean' into 'cleanup'cleanupMerge remote-tracking branch 'origin/cleanup_clean' into cleanup_cleanfix jupyter after fluidfoam upgradeclean obsoleteMerge branch 'cleanup' into 'cleanup_clean'dependency upgradesupgradesfix testreformatting and cleanupadd open3d to requirements. maybe useful for postprocessing too?statistical voronoi voxelization le/te detection for error resistancyadd open3d to requirement. maybe also useful for postprocessingfixing all tests