old_contents: import argparse
  import datetime
  from os import getcwd
  from os.path import isdir, exists
  from project import corpus, knn_corpus, lda_corpus, word2vec_corpus
  
  algorithms = {"lda": lda_corpus.LDACorpus,
                "knn": knn_corpus.KNNCorpus,
                "w2v": word2vec_corpus.W2VCorpus}
  
  base_dir = getcwd()
  output_loc = base_dir + "/%s.corpus_out"
  dictionary_loc = output_loc + "/%scorpus.dict"
  corpus_loc = output_loc + "/%scorpus.mm"
  log_file = output_loc + "/Sim_runtimes.log"
  sup_file_loc = output_loc + "/%d.%s"
  
  
  def run_sim(ints, algorithm):
      output_dir = output_loc % algorithm
      if not exists(output_dir):
          print "Output directory for %s must exist already. Run run_algorithm.py first." % algorithm
          return
      log = open(log_file % algorithm, 'a+')
      for size in ints:
          corpus_dict = dictionary_loc % size
          corpus = corpus_loc % size
          sup_file = sup_file_loc % (size, algorithm)
          test_corpus = algorithms[algorithm].load(dictionary=corpus_dict, corpus=corpus, sup_file=sup_file)
          # Run some queries on the corpus
  
          # Log temporal time
          log.write("%s %d query time:\t" % (algorithm, size) + str(test_corpus.get_train_time()) + "\n")
      log.close()
  
  
  def main():
      parser = argparse.ArgumentParser(description='Run queries on bow corpus generated from the arxiv corpus.')
      parser.add_argument('integers', metavar='N', type=int, nargs='+', help='size values for the corpus')
      parser.add_argument('algorithm', help='algorithm to apply to the corpus', choices=algorithms)
      args = parser.parse_args()
      run_sim(args.integers, args.algorithm)
  
  
  if __name__ == "__main__":
      main()
new_contents: import argparse
  import datetime
  from os import getcwd
  from os.path import isdir, exists
  from project import corpus, knn_corpus, lda_corpus, word2vec_corpus
  
  algorithms = {"lda": lda_corpus.LDACorpus,
                "knn": knn_corpus.KNNCorpus,
                "w2v": word2vec_corpus.W2VCorpus}
  
  base_dir = getcwd()
  output_loc = base_dir + "/%s.corpus_out"
  dictionary_loc = output_loc + "/%scorpus.dict"
  corpus_loc = output_loc + "/%scorpus.mm"
  log_file = output_loc + "/Sim_runtimes.log"
  sup_file_loc = output_loc + "/%d.%s"
  
  
  def run_sim(ints, algorithm):
      output_dir = output_loc % algorithm
      if not exists(output_dir):
          print "Output directory for %s must exist already. Run run_algorithm.py first." % algorithm
          return
      log = open(log_file % algorithm, 'a+')
      for size in ints:
          corpus_dict = dictionary_loc % (algorithm, size)
          corpus = corpus_loc % (algorithm, size)
          sup_file = sup_file_loc % (algorithm, size, algorithm)
          test_corpus = algorithms[algorithm].load(dictionary_file=corpus_dict, corpus_file=corpus, sup_file=sup_file)
          # Run some queries on the corpus
  
          # Log temporal time
          # log.write("%s %d query time:\t" % (algorithm, size) + str(test_corpus.get_train_time()) + "\n")
      log.close()
  
  
  def main():
      parser = argparse.ArgumentParser(description='Run queries on bow corpus generated from the arxiv corpus.')
      parser.add_argument('integers', metavar='N', type=int, nargs='+', help='size values for the corpus')
      parser.add_argument('algorithm', help='algorithm to apply to the corpus', choices=algorithms)
      args = parser.parse_args()
      run_sim(args.integers, args.algorithm)
  
  
  if __name__ == "__main__":
      main()
subject: Fix errors in sim harness