text: import time
  import sys
  import os
  import hashlib
  import shutil
  import numpy as np
  
  # hack argv
  sys.argv = sys.argv[2:]
  from common import common
  args = common.args
  
  from common import ga
  
  
  str_md5 = hashlib.md5(args.custom_alignment.encode()).hexdigest()
  
  folder = f"output_data/{args.tensorboard}/model-{args.train_bodies_str}-CustomAlignWrapper-md{str_md5}-sd{args.seed}/PPO_1"
  
  if os.path.exists(folder):
      shutil.rmtree(folder)
      print("old results removed.")
  
  # To avoid accidentally create a infinite loop submitting many jobs
  time.sleep(1)
  exit(0)
  