code: def test_call(self):
      observation_spec = specs.TensorSpec(
          [1], tf.float32, "observation"
      )
      state_spec = tf.TensorSpec([], tf.float32, "state")
      net = MockStateFullNetwork(observation_spec, state_spec)
  
      initial_state = net._get_initial_state(batch_size=1)
      observation = tf.constant([1.0])
      outputs, new_state = net(observation, initial_state)
      # Only needed for TF1
      self.evaluate(tf.compat.v1.global_variables_initializer())
  
      self.assertEqual(self.evaluate(outputs), 1.0)
      self.assertEqual(self.evaluate(new_state), 0.0)
  
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 6 for calling the StateFullNetworkTest obj's underlying member method code with example usage: obj.test_call() without return types