• cocopp - COmparing Continuous Optimisers (COCO) post-processing package
  • cocopp.__main__ - Calls rungeneric.py.
  • cocopp.algportfolio - Algorithm portfolio data set module.
  • cocopp.archives - Undocumented
  • cocopp.archives2 - Undocumented
  • cocopp.archiving - Online and offline archiving of COCO data.
  • cocopp.bestalg - Best algorithm dataset module
  • cocopp.bwsettings - This module contains settings for outputting black and white figures.
  • cocopp.captions - Provides basic functionality for creating figure and table captions.
  • cocopp.cococommands - Depreciated (cocopp itself is to be used from Jupyter or IPython): Module for using COCO from the (i)Python interpreter.
  • cocopp.comp2 - COmparing Continuous Optimisers (COCO) post-processing tool for comparing two algorithms:
    • cocopp.comp2.ppfig2 - Creates aRT-ratio comparison figures (ECDF) and convergence figures for the comparison of 2 algorithms.
    • cocopp.comp2.pprldistr2 - Creates run length distribution figures for the comparison of 2 algorithms.
    • cocopp.comp2.ppscatter - Scatter Plots.
  • cocopp.compall - COmparing Continuous Optimisers (COCO) post-processing tool for comparing multiple algorithms:
    • cocopp.compall.organizeRTDpictures - Routine to organize the output folder in which runcompall puts all the output.
    • cocopp.compall.ppfigs - Creates aRTs and convergence figures for multiple algorithms.
    • cocopp.compall.ppperfprof - For generating performance profiles. This module is not in use (anymore or not yet?).
    • cocopp.compall.pprldmany - Generates figure of the bootstrap distribution of aRT.
    • cocopp.compall.pptables - Routines for the generation of TeX tables.
  • cocopp.config - This module is an attempt for a global configuration file for various parameters.
  • cocopp.dataformatsettings - No module docstring; 2/4 classes documented
  • cocopp.findfiles - Recursively find :file:`info` and zipped files within a directory and administer archives.
  • cocopp.firstsession - First session script.
  • cocopp.genericsettings - This module contains some global variables settings for COCO.
  • cocopp.grayscalesettings - This module contains settings for outputting grayscale figures.
  • cocopp.htmldesc - Prepares the descriptions of images and tables which will be converted to html.
  • cocopp.old_ranksumtest - Stats including rank-sum test for small sample and correct tied ranks. Author: Sturla Molden http://mail.scipy.org/pipermail/scipy-user/2009-February/019759.html
  • cocopp.ppconverrorbars - Process data and generates some comparison results.
  • cocopp.ppfig - Generic routines for figure generation.
  • cocopp.ppfigdim - Generate performance scaling figures.
  • cocopp.ppfigparam - Generate aRT vs param. figures.
  • cocopp.pplogloss - Module for computing aRT loss ratio
  • cocopp.pprldistr - For generating empirical cumulative distribution function figures.
  • cocopp.pprldistr2009_hardestRLB - Generates "pprldistr2009_RLB.pickle.gz" that is used to plot, in the background, the results of the 2009 algorithms
  • cocopp.pproc - Raw post-processing routines.
  • cocopp.pprocold - Helper routines for read index files.
  • cocopp.ppsingle - Single data set results output module.
  • cocopp.pptable - Module for generating tables used by rungeneric1.py.
  • cocopp.pptex - Routines for writing TeX for tables.
  • cocopp.preparehtml - Prepares the figure and table descriptions in html.
  • cocopp.preparetexforhtml - Prepares the descriptions of images and tables which will be converted to html.
  • cocopp.readalign - Helper routines to read in data files.
  • cocopp.rungeneric - Process data to be included in a latex template. Called via
  • cocopp.rungeneric1 - Module for post-processing the data of one algorithm.
  • cocopp.rungenericmany - Process data to be included in a generic template.
  • cocopp.sanitycheck - Module for checking data sets.
  • cocopp.test - Tests the cocopp module.
  • cocopp.testbedsettings - No module docstring; 10/10 classes, 1/9 functions documented
  • cocopp.toolsdivers - Various tools.
  • cocopp.toolsstats - Bootstrapping and statistics routines.