code: def test_wrapped_method_propagation(self):
      mock_env = mock.MagicMock()
      env = tf_wrappers.TFEnvironmentBaseWrapper(mock_env)
  
      env.time_step_spec()
      self.assertEqual(1, mock_env.time_step_spec.call_count)
  
      env.action_spec()
      self.assertEqual(1, mock_env.action_spec.call_count)
  
      env.observation_spec()
      self.assertEqual(1, mock_env.observation_spec.call_count)
  
      env.batched()
      self.assertEqual(1, mock_env.batched.call_count)
  
      env.batch_size()
      self.assertEqual(1, mock_env.batch_size.call_count)
  
      env.current_time_step()
      self.assertEqual(1, mock_env.current_time_step.call_count)
  
      env.reset()
      self.assertEqual(1, mock_env.reset.call_count)
  
      env.step(0)
      self.assertEqual(1, mock_env.step.call_count)
      mock_env.step.assert_called_with(0)
  
      env.render()
      self.assertEqual(1, mock_env.render.call_count)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing.absltest import mock
  import tensorflow
  from tf_agents.environments import random_tf_environment
  from tf_agents.environments import tf_wrappers
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the TFEnvironmentBaseWrapperTest obj's underlying member method code with example usage: obj.test_wrapped_method_propagation() without return types