new_contents: import argparse
  import logging
  import os
  from pathlib import Path
  
  from evaluator.EvaluationSummary import EvaluationSummary
  
  logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
  
  
  if __name__ == "__main__":
      parser = argparse.ArgumentParser(description='Summarize clustering results.')
      parser.add_argument('iterations', metavar='I', type=int, nargs='+',
                          help='iterations to summarize')
      args = parser.parse_args()
  
      # Current directory
      dir_path = os.path.dirname(os.path.realpath(__file__))
  
      # Useful directories
      temp_dir = os.path.join(dir_path, "..", "temp")
      out_dir = os.path.join(temp_dir, 'visualization', 'summary')
  
      # Make sure directories exist
      Path(out_dir).mkdir(parents=True, exist_ok=True)
  
      summary = EvaluationSummary()
  
      print(args.iterations)
  
      # Load all evaluations
      for i in args.iterations:
          logging.info("Loading evaluation statistics from iteration %d" % i)
          temp_visualization_dir = os.path.join(temp_dir, 'visualization', '{:02d}'.format(i))
          evaluation_file = os.path.join(temp_visualization_dir, 'evaluation.csv')
  
          summary.add(evaluation_file)
  
      # Save the summary evaluation
      summary.save(out_dir)
  
subject: Add missing file.