code: def __init__(self, truncate=True):
      self.t = 0
      self._agent_ids = {"agent_" + str(i) for i in range(10)}
      self.observation_space = {
          agent_id: gym.spaces.Discrete(201)
          for agent_id in self._agent_ids
      }
      self.action_space = {
          agent_id: gym.spaces.Discrete(200)
          for agent_id in self._agent_ids
      }
  
      self._agents_alive = set(self._agent_ids)
      self.truncate = truncate
  
imports: import gymnasium
  import numpy
  import unittest
  from typing import List, Optional, Tuple
  import ray
  from ray.rllib.env.multi_agent_env import MultiAgentEnv
  from ray.rllib.env.multi_agent_episode import MultiAgentEpisode
  from ray.rllib.utils.typing import MultiAgentDict
label_desc: Use image node_id 1 to create a new MultiAgentTestEnv object from inherited base classes: MultiAgentEnv with example: obj = MultiAgentTestEnv(truncate)