code: def test_inference_respects_causality(self):
      obs_space = gym.spaces.Box(-np.ones(4), np.ones(4))
      view_reqs = {
          SampleBatch.T: ViewRequirement(SampleBatch.T),
          SampleBatch.OBS: ViewRequirement("obs", space=obs_space),
          "future_obs": ViewRequirement("obs", shift=1),
          "past_obs": ViewRequirement("obs", shift=-1),
      }
      ac = AgentCollector(view_reqs=view_reqs, is_policy_recurrent=True)
  
      self._simulate_env_steps(ac, n_steps=10)
  
      # build_for_train should return all keys
      train_batch = ac.build_for_training(view_reqs)
      self.assertTrue(
          all(key in train_batch.keys() for key in view_reqs.keys())
      )
  
      # should error out since future_obs has used_for_compute_actions=True but
      # depends on future
      with self.assertRaises(ValueError):
          ac.build_for_inference()
  
      view_reqs["future_obs"] = ViewRequirement(
          "obs", shift=1, used_for_compute_actions=False
      )
      # since future_obs is shoulld not be used in inference, it should not be in the
      # batch
      eval_batch = ac.build_for_inference()
      self.assertTrue(
          all(
              k in eval_batch.keys()
              for k, vr in view_reqs.items()
              if vr.used_for_compute_actions
          )
      )
  
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 5 for calling the TestAgentCollector obj's underlying member method code with example usage: obj.test_inference_respects_causality() without return types