code: def testStateShape(self):
      time_step_spec = ts.time_step_spec(
          tensor_spec.TensorSpec([1], tf.float32)
      )
      action_spec = tensor_spec.TensorSpec([1], tf.float32)
      policy_state_spec = {
          "foo": tensor_spec.TensorSpec([1], tf.float32),
          "bar": tensor_spec.TensorSpec([2, 2], tf.int8),
      }
  
      policy = TfPassThroughPolicy(
          time_step_spec,
          action_spec,
          policy_state_spec=policy_state_spec,
      )
  
      # Test state shape with explicit batch_size
      initial_state = policy.get_initial_state(3)
      tf.nest.assert_same_structure(policy_state_spec, initial_state)
      self.assertEqual([3, 1], initial_state["foo"].shape.as_list())
      self.assertEqual([3, 2, 2], initial_state["bar"].shape.as_list())
  
      # Test state shape with batch_size None
      initial_state = policy.get_initial_state(None)
      tf.nest.assert_same_structure(policy_state_spec, initial_state)
      self.assertEqual([1], initial_state["foo"].shape.as_list())
      self.assertEqual([2, 2], initial_state["bar"].shape.as_list())
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import cast
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  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 common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 12 for calling the TfPolicyTest obj's underlying member method code with example usage: obj.testStateShape() without return types