code: def make_multigrid_environment(
      env_name: str = "MultiGrid-Empty-5x5-v0",
  ) -> dm_env.Environment:
      """Returns Multigrid Multiagent Gym environment.
  
      Args:
        env_name: name of multigrid task. See social_rl.gym_multigrid.envs for the
          available environments.
      """
      # Load the gym environment.
      env = gym.make(env_name)
  
      # Make sure the environment obeys the dm_env.Environment interface.
      env = MultigridWrapper(env)
      env = wrappers.SinglePrecisionWrapper(env)
      env = multiagent_dict_key_wrapper.MultiagentDictKeyWrapper(env)
      return env
  
imports: from typing import Any, Dict, List, Optional
  import warnings
  from acme import specs
  from acme import types
  from acme import wrappers
  from acme.multiagent import types
  from acme.wrappers import multiagent_dict_key_wrapper
  import dm_env
  import gym
  from gym import spaces
  import jax
  import numpy
  import tree
label_desc: Use image node_id 5 for calling a global function with example usage: make_multigrid_environment(env_name) and returns: env