code: def _simulate_env_steps(self, ac, n_steps=1):
      obses = []
      obses.append(np.random.rand(4))
      ac.add_init_obs(
          episode_id=0,
          agent_index=1,
          env_id=0,
          init_obs=obses[-1],
      )
  
      for t in range(n_steps):
          obses.append(np.random.rand(4))
          ac.add_action_reward_next_obs(
              {SampleBatch.NEXT_OBS: obses[-1]}
          )
  
      return obses
  
imports: import gymnasium
  import numpy
  import unittest
  import ray
  import math
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.policy.view_requirement import ViewRequirement
  from ray.rllib.utils.test_utils import check
  from ray.rllib.evaluation.collectors.agent_collector import AgentCollector
label_desc: Use image node_id 3 for calling the TestAgentCollector obj's underlying member method code with example usage: obj._simulate_env_steps(ac, n_steps) and returns: obses