code: def evaluate_list(molecules, ensemble_lookup, options):
      
  
      # create stats dictionaries to store results from each ensemble
      stats = {}  # {file name : metric_List}
  
      # print progress messages
      if options.write_roc:
          print(" Determining virtual screening performance and writing ROC data ... ")
          print('')
      else:
          print(" Determining virtual screening performance ...")
          print('')
  
      for filename in sorted(ensemble_lookup.keys()):
          metric_List = calculate_metrics(molecules, ensemble_lookup, filename, options)
          stats[filename] = metric_List
  
      # write results summary
      output.write_summary(stats, options, fw_type = None)
  
      # plot
      if options.plot:
          print(" Making plots ... ")
          print
          plotter(molecules, ensemble_lookup, options)
docs: Evaluate a list of ensembles and return statistics and ROC plots if appropriate