code: def init_env(max_steps, env_class, seed=None, grid_size=3):
      config = {
          "max_steps": max_steps,
          "grid_size": grid_size,
      }
      env = env_class(config)
      env.seed(seed)
  
      return env
  
imports: import random
  import numpy
  from ray.rllib.examples.env.coin_game_non_vectorized_env import CoinGame, AsymCoinGame
  from ray.rllib.env.wrappers.uncertainty_wrappers import add_RewardUncertaintyEnvClassWrapper
label_desc: Use image node_id 1 for calling a global function with example usage: init_env(max_steps, env_class, seed, grid_size) and returns: env