code: def testKerasLayerCreate(
      self,
      layer_fn,
      input_spec,
      expected_output_spec,
      expected_state_spec,
  ):
      layer = layer_fn()
      with self.assertRaisesRegex(
          ValueError, "an input_spec is required"
      ):
          network.create_variables(layer)
      output_spec = network.create_variables(layer, input_spec)
      self.assertTrue(layer.built)
      self.assertEqual(
          output_spec,
          expected_output_spec,
          "\n{}\nvs.\n{}\n".format(output_spec, expected_output_spec),
      )
      output_spec_2 = network.create_variables(layer, input_spec)
      self.assertEqual(output_spec_2, expected_output_spec)
      state_spec = getattr(layer, "_network_state_spec", None)
      self.assertEqual(state_spec, expected_state_spec)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tf_agents import specs
  from tf_agents.distributions import utils
  from tf_agents.keras_layers import rnn_wrapper
  from tf_agents.networks import network
  from tf_agents.utils import common
label_desc: Use image node_id 2 for calling the CreateVariablesTest obj's underlying member method code with example usage: obj.testKerasLayerCreate(layer_fn, input_spec, expected_output_spec, expected_state_spec) without return types