explanation of args

    shutil.rmtree(base_dir_o)

  os.makedirs(base_dir_o)

  parser = argparse.ArgumentParser(description='deepchem benchmark')

  parser.add_argument('-s', action='append', dest='splitter_args',

                      default=[], help='Choice of splitting function')

  parser.add_argument('-m', action='append', dest='model_args',

                      default=[], help='Choice of model')

  parser.add_argument('-d', action='append', dest='dataset_args',

                      default=[], help='Choice of dataset')

  parser = argparse.ArgumentParser(description='Deepchem benchmark: '+

      'giving performances of different learning models on datasets')

  parser.add_argument('-s', action='append', dest='splitter_args', default=[],

      help='Choice of splitting function: index, random, scaffold')

  parser.add_argument('-m', action='append', dest='model_args', default=[], 

      help='Choice of model: tf, tf_robust, logreg, graphconv')

  parser.add_argument('-d', action='append', dest='dataset_args', default=[], 

      help='Choice of dataset: tox21, sider, muv, toxcast, pcba')

  args = parser.parse_args()

  #Datasets and models used in the benchmark test

  splitters = args.splitter_args