cocopp - COmparing Continuous Optimisers (COCO) post-processing packagealgportfolio - Algorithm portfolio data set module.archiving - Online and offline archiving of COCO data.bestalg - Best algorithm dataset modulebwsettings - This module contains settings for outputting black and white figures.captions - Provides basic functionality for creating figure and table captions.cococommands - A collection of commands for using COCO from Jupyter or IPython.comp2 - COmparing Continuous Optimisers (COCO) post-processing tool for comparing two algorithms:ppfig2 - Creates ERT-ratio comparison figures (ECDF) and convergence figures for the comparison of 2 algorithms.pprldistr2 - Creates run length distribution figures for the comparison of 2 algorithms.ppscatter - Scatter Plots.compall - COmparing Continuous Optimisers (COCO) post-processing tool for comparing multiple algorithms:organizeRTDpictures - Routine to organize the output folder in which runcompall puts all the output.ppfigcons - Generate performance scaling figures for the constrained testbed.ppfigs - Creates ERTs and convergence figures for multiple algorithms.ppperfprof - For generating performance profiles. This module is not in use (anymore or not yet?).pprldmany - Generates figure of the bootstrap distribution of (function) evaluations.pptables - Routines for the generation of TeX tables.config - This module is an attempt for a global configuration file for various parameters.dataformatsettings - No module docstring; 0/2 variable, 2/4 classes documentedfindfiles - Recursively find :file:`info` and zipped files within a directory and administer archives.firstsession - First session script.genericsettings - This module contains some global variables settings for COCO.grayscalesettings - This module contains settings for outputting grayscale figures.htmldesc - Prepares the descriptions of images and tables which will be converted to html.old_line_styles - old line styles from genericsettingsppconverrorbars - Process data and generates some comparison results.ppfig - Generic routines for figure generation.ppfigcons1 - Generate performance scaling figures wrt constraints. See also:ppfigdim - Generate performance scaling figures.ppfigparam - Generate ERT vs param. figures.pplogloss - Module for computing ERT loss ratiopprldistr - For generating empirical cumulative distribution function figures.pprldistr2009_hardestRLB - Generates "pprldistr2009_RLB.pickle.gz" that is used to plot, in the background, the results of the 2009 algorithmspproc - Raw post-processing routines.ppsingle - Single data set results output module.pptable - Module for generating tables used by rungeneric1.py.pptex - Routines for writing TeX for tables.preparehtml - Prepares the figure and table descriptions in html.preparetexforhtml - Prepares the descriptions of images and tables which will be converted to html.readalign - Helper routines to read in data files.rungeneric - Process data to be included in a latex template. Called viarungeneric1 - Module for post-processing the data of one algorithm.rungenericmany - Process data to be included in a generic template.sanitycheck - Module for checking data sets.test - Tests the cocopp module.testbedsettings - No module docstring; 0/34 variable, 3/10 functions, 11/12 classes documentedtoolsdivers - Various tools.toolsstats - Bootstrapping and statistics routines.__main__ - Calls rungeneric.py._version - Undocumented