code: def reset(
      self,
      *,
      seed: Optional[int] = None,
      options: Optional[dict] = None,
  ) -> Tuple[MultiAgentDict, MultiAgentDict]:
      try:
          obs_and_infos = self.env.reset(seed=seed, options=options)
      except Exception as e:
          if self.return_error_as_obs:
              logger.exception(e.args[0])
              obs_and_infos = e, e
          else:
              raise e
  
      self.last_obs, self.last_infos = obs_and_infos
      self.last_rewards = {}
      self.last_terminateds = {"__all__": False}
      self.last_truncateds = {"__all__": False}
  
      return self.last_obs, 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 4 for calling the _MultiAgentEnvState obj's underlying member method code with example usage: obj.reset() and returns: self,  self