code: def __init__(
      self, env: MultiAgentEnv, return_error_as_obs: bool = False
  ):
      assert isinstance(env, MultiAgentEnv)
      self.env = env
      self.return_error_as_obs = return_error_as_obs
  
      self.initialized = False
      self.last_obs = {}
      self.last_rewards = {}
      self.last_terminateds = {"__all__": False}
      self.last_truncateds = {"__all__": False}
      self.last_infos = {}
  
imports: import gymnasium
  import logging
  from typing import Callable, Dict, List, Tuple, Optional, Union, Set, Type
  from ray.rllib.env.base_env import BaseEnv
  from ray.rllib.env.env_context import EnvContext
  from ray.rllib.utils.annotations import ExperimentalAPI, override, PublicAPI, DeveloperAPI
  from ray.rllib.utils.typing import AgentID, EnvCreator, EnvID, EnvType, MultiAgentDict, MultiEnvDict
  from ray.util import log_once
label_desc: Use image node_id 1 to create a new _MultiAgentEnvState object  with example: obj = _MultiAgentEnvState(env, return_error_as_obs)