code: def test_vectorize_basic(self):
      env = MultiAgentEnvWrapper(lambda v: BasicMultiAgent(2), [], 2)
      obs, rew, terminateds, truncateds, _, _ = env.poll()
      self.assertEqual(obs, {0: {0: 0, 1: 0}, 1: {0: 0, 1: 0}})
      self.assertEqual(rew, {0: {}, 1: {}})
      self.assertEqual(
          terminateds,
          {
              0: {"__all__": False},
              1: {"__all__": False},
          },
      )
      self.assertEqual(truncateds, terminateds)
      for _ in range(24):
          env.send_actions({0: {0: 0, 1: 0}, 1: {0: 0, 1: 0}})
          obs, rew, terminateds, truncateds, _, _ = env.poll()
          self.assertEqual(obs, {0: {0: 0, 1: 0}, 1: {0: 0, 1: 0}})
          self.assertEqual(rew, {0: {0: 1, 1: 1}, 1: {0: 1, 1: 1}})
          self.assertEqual(
              terminateds,
              {
                  0: {0: False, 1: False, "__all__": False},
                  1: {0: False, 1: False, "__all__": False},
              },
          )
          self.assertEqual(truncateds, terminateds)
      env.send_actions({0: {0: 0, 1: 0}, 1: {0: 0, 1: 0}})
      obs, rew, terminateds, truncateds, _, _ = env.poll()
      self.assertEqual(
          terminateds,
          {
              0: {0: True, 1: True, "__all__": True},
              1: {0: True, 1: True, "__all__": True},
          },
      )
      self.assertEqual(truncateds, terminateds)
  
      # Reset processing
      self.assertRaises(
          ValueError,
          lambda: env.send_actions({0: {0: 0, 1: 0}, 1: {0: 0, 1: 0}}),
      )
      init_obs, init_infos = env.try_reset(0)
      self.assertEqual(init_obs, {0: {0: 0, 1: 0}})
      self.assertEqual(init_infos, {0: {0: {}, 1: {}}})
      init_obs, init_infos = env.try_reset(1)
      self.assertEqual(init_obs, {1: {0: 0, 1: 0}})
      self.assertEqual(init_infos, {1: {0: {}, 1: {}}})
  
      env.send_actions({0: {0: 0, 1: 0}, 1: {0: 0, 1: 0}})
      obs, rew, terminateds, truncateds, _, _ = env.poll()
      self.assertEqual(obs, {0: {0: 0, 1: 0}, 1: {0: 0, 1: 0}})
      self.assertEqual(rew, {0: {0: 1, 1: 1}, 1: {0: 1, 1: 1}})
      self.assertEqual(
          terminateds,
          {
              0: {0: False, 1: False, "__all__": False},
              1: {0: False, 1: False, "__all__": False},
          },
      )
      self.assertEqual(truncateds, terminateds)
  
imports: import gymnasium
  import numpy
  import random
  import tree
  import unittest
  import ray
  from ray.tune.registry import register_env
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
  from ray.rllib.algorithms.dqn.dqn import DQNConfig
  from ray.rllib.algorithms.dqn.dqn_tf_policy import DQNTFPolicy
  from ray.rllib.algorithms.ppo import PPOConfig
  from ray.rllib.env.multi_agent_env import make_multi_agent, MultiAgentEnvWrapper
  from ray.rllib.evaluation.episode import Episode
  from ray.rllib.evaluation.rollout_worker import get_global_worker, RolloutWorker
  from ray.rllib.evaluation.tests.test_rollout_worker import MockPolicy
  from ray.rllib.examples.policy.random_policy import RandomPolicy
  from ray.rllib.examples.env.multi_agent import MultiAgentCartPole, BasicMultiAgent, EarlyDoneMultiAgent, FlexAgentsMultiAgent, RoundRobinMultiAgent, SometimesZeroAgentsMultiAgent
  from ray.rllib.policy.policy import PolicySpec
  from ray.rllib.policy.sample_batch import convert_ma_batch_to_sample_batch
  from ray.rllib.tests.test_nested_observation_spaces import NestedMultiAgentEnv
  from ray.rllib.utils.numpy import one_hot
  from ray.rllib.utils.test_utils import check
label_desc: Use image node_id 6 for calling the TestMultiAgentEnv obj's underlying member method code with example usage: obj.test_vectorize_basic() without return types