code: def reset(self, *, seed=None, options=None):
      self.terminateds = set()
      self.truncateds = set()
      obs_and_infos = [a.reset() for a in self.agents]
      return (
          {i: oi[0] for i, oi in enumerate(obs_and_infos)},
          {
              i: dict(oi[1], **{"timestep": i})
              for i, oi in enumerate(obs_and_infos)
          },
      )
  
imports: import ray
  import unittest
  from typing import Dict, List, Optional, Union, Tuple
  import numpy
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
  from ray.rllib.algorithms.callbacks import DefaultCallbacks
  from ray.rllib.env.multi_agent_env import MultiAgentEnv
  from ray.rllib.evaluation.rollout_worker import RolloutWorker
  from ray.rllib.evaluation.episode import Episode
  from ray.rllib.examples.env.mock_env import MockEnv3
  from ray.rllib.policy import Policy
  from ray.rllib.utils import override
  from ray.rllib.utils.typing import TensorStructType, TensorType
label_desc: Use image node_id 2 for calling the EpisodeEnv obj's underlying member method code with example usage: obj.reset() and returns: unknown,  unknown