new_contents: import argparse
  import json
  import re
  from os.path import join
  
  file_regex = re.compile("(^[a-z\-]*)")
  
  
  results_log = "query_results.json"
  
  
  def extract_arXiv_topic(filename):
      return_topic = ""
      matches = file_regex.match(filename).groups()
      if len(matches) > 0:
          return_topic = matches[0]
      return return_topic
  
  
  def gen_match_results(query_file, directory):
      match_results = dict()
      with open(query_file) as f:
          json_data = f.read()
      json_file = json.loads(json_data)
  
      for corpus_name, data in json_file.iteritems():
          match_results[corpus_name] = dict()
          for query, results in data["queries"].iteritems():
              match_results[corpus_name][query] = dict()
              for result in results.itervalues():
                  topic = extract_arXiv_topic(result["file"])
                  if topic in match_results[corpus_name][query]:
                      match_results[corpus_name][query][topic] += 1
                  else:
                      match_results[corpus_name][query][topic] = 1
      json.dump(match_results, open(join(directory, "meta_results.json"), 'w'))
  
  
  def main():
      parser = argparse.ArgumentParser(description='script to compare similarities generated by run sim')
      parser.add_argument('file', help='input json file')
      parser.add_argument('directory', help='output directory for json.')
      args = parser.parse_args()
      gen_match_results(args.file, args.directory)
  
  
  if __name__ == "__main__":
      main()
  
subject: Add script to compare similarites with meta data