code: def _get_mock_py_policy(self):
      mock_py_policy = mock.create_autospec(py_policy.PyPolicy)
      observation_spec = tensor_spec.TensorSpec([5], dtype=tf.float32)
      mock_py_policy.time_step_spec = ts.time_step_spec(
          observation_spec
      )
      mock_py_policy.action_spec = tensor_spec.BoundedTensorSpec(
          [3], tf.float32, -1.0, 1.0
      )
      mock_py_policy.policy_state_spec = ()
      mock_py_policy.info_spec = ()
      return mock_py_policy
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing.absltest import mock
  import numpy
  import tensorflow
  from tf_agents.policies import py_policy
  from tf_agents.policies import random_py_policy
  from tf_agents.policies import tf_py_policy
  from tf_agents.specs import array_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 7 for calling the TFPyPolicyTest obj's underlying member method code with example usage: obj._get_mock_py_policy() and returns: mock_py_policy