code: def testSimpleNetworkWithPassthroughMask(self):
      # Create a wrapped network.
      wrapped_network = WrappedNetwork()
  
      # Create a splitter network which passes the mask (`passthrough_mask=True`).
      splitter_network = mask_splitter_network.MaskSplitterNetwork(
          splitter_fn=self._splitter_fn,
          wrapped_network=wrapped_network,
          passthrough_mask=True,
      )  # The mask is passed through.
  
      # Apply splitter network which returns the `observation` and `mask` received
      # by the `wrapped_network`.
      (observation, mask), _ = splitter_network(
          self._observation_and_mask
      )
  
      # Check if the wrapped network received the observation part of the input.
      self.assertAllClose(
          observation, self._observation_and_mask["observation"]
      )
      # Check if the wrapped network received the right mask .
      self.assertAllEqual(mask, self._observation_and_mask["mask"])
  
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 5 for calling the MaskSplitterNetworkTest obj's underlying member method code with example usage: obj.testSimpleNetworkWithPassthroughMask() without return types