text: import gym
  import statistics
  import os
  from swapenv import SwapEnv
  
  rewards = []
  num_iterations = 100000
  path_to_config = os.getcwd() + "/configs/swap_default_config.yaml"
  env = SwapEnv(path_to_config)
  observation = env.reset()
  
  for _ in range(num_iterations):
    action = env.action_space.sample() # this takes random actions
    observation, reward, done, info = env.step(action)
  
    if done:
      rewards.append(reward)
      observation = env.reset()
  
  env.close()
  print("Average reward over {} iterations: {}".format(num_iterations, statistics.mean(rewards)))
  