code: def fitness_and_quality_parsed(mime_type, parsed_ranges):
      
      best_fitness = -1 
      best_fit_q = 0
      (target_type, target_subtype, target_params) =\
              parse_media_range(mime_type)
      for (type, subtype, params) in parsed_ranges:
          if (type == target_type or type == '*' or target_type == '*') and \
                  (subtype == target_subtype or subtype == '*' or target_subtype == '*'):
              param_matches = reduce(lambda x, y: x+y, [1 for (key, value) in \
                      list(target_params.items()) if key != 'q' and \
                      key in params and value == params[key]], 0)
              fitness = (type == target_type) and 100 or 0
              fitness += (subtype == target_subtype) and 10 or 0
              fitness += param_matches
              if fitness > best_fitness:
                  best_fitness = fitness
                  best_fit_q = params['q']
              
      return float(best_fit_q), best_fitness
docs: Find the best match for a given mime-type against 
         a list of media_ranges that have already been 
         parsed by parse_media_range(). Returns a tuple of
         the fitness value and the value of the 'q' quality
         parameter of the best match, or (-1, 0) if no match
         was found. Just as for quality_parsed(), 'parsed_ranges'
         must be a list of parsed media ranges.