code: def testNetworkState(self):
      # Create a wrapped network with `state_spec`.
      wrapped_network = WrappedNetwork(state_spec=self._state_spec)
  
      # Create a splitter network which drops the mask (`passthrough_mask=False`).
      splitter_network = mask_splitter_network.MaskSplitterNetwork(
          splitter_fn=self._splitter_fn, wrapped_network=wrapped_network
      )
  
      # Apply the mask splitter network passing a state which is returned as the
      # output network state.
      _, network_state = splitter_network(
          self._observation_and_mask, network_state=self._network_state
      )
  
      # Check if the wrapped network received the correct network state.
      self.assertAllEqual(network_state, self._network_state)
      # Check if the `state_spec` of the `splitter_network` is equal to the
      # `state_spec` of the `wrapped_network`.
      self.assertEqual(
          splitter_network.state_spec, wrapped_network.state_spec
      )
  
imports: import tensorflow.compat.v2
  import tensorflow_probability
  from tf_agents.networks import mask_splitter_network
  from tf_agents.networks import network
  from tf_agents.networks import value_network
  from tf_agents.specs import distribution_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.utils import test_utils
label_desc: Use image node_id 4 for calling the MaskSplitterNetworkTest obj's underlying member method code with example usage: obj.testNetworkState() without return types