code: def test_shift_positive_one_with_repeat_larger_1(self):
      obs_space = gym.spaces.Box(-np.ones(4), np.ones(4))
      ctx_len = 5
      view_reqs = {
          SampleBatch.T: ViewRequirement(SampleBatch.T),
          SampleBatch.OBS: ViewRequirement("obs", space=obs_space),
          SampleBatch.NEXT_OBS: ViewRequirement(
              "obs", shift=1, batch_repeat_value=ctx_len
          ),
      }
      ac = AgentCollector(view_reqs=view_reqs, is_policy_recurrent=True)
  
      obses = self._simulate_env_steps(ac, n_steps=10)
  
      sample_batch = ac.build_for_training(view_reqs)
      expected_obses = np.stack(obses)
  
      self.assertEqual(sample_batch[SampleBatch.NEXT_OBS].shape, (2, 4))
  
      # next_obs at index = 0 should be equal to obs at index = 1
      check(sample_batch[SampleBatch.NEXT_OBS][0], expected_obses[1])
  
      # next_obs at index = 1 should be equal to next_obs at index = ctx_len - 1
      #  which is obs at index = ctx_len
      check(
          sample_batch[SampleBatch.NEXT_OBS][1],
          expected_obses[ctx_len + 1],
      )
  
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 11 for calling the TestAgentCollector obj's underlying member method code with example usage: obj.test_shift_positive_one_with_repeat_larger_1() without return types