code: def testShapes(self):
      agent = self._create_test_agent()
      # Replay buffer batch size:
      self.assertEqual(agent._replay._batch_size, 2)
      for params in [agent.online_params, agent.target_network_params]:
          agent._rng, rng_input = jax.random.split(agent._rng)
          output = agent.network_def.apply(
              params,
              self.ones_state,
              num_quantiles=agent.num_quantile_samples,
              rng=rng_input,
          )
          self.assertEqual(
              output.quantile_values.shape[0],
              agent.num_quantile_samples,
          )
          self.assertEqual(
              output.quantiles.shape[0], agent.num_quantile_samples
          )
          self.assertEqual(output.quantiles.shape[1], 1)
      # Check the setting of num_actions.
      self.assertEqual(self._num_actions, agent.num_actions)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import absltest
  from dopamine.discrete_domains import atari_lib
  from dopamine.jax.agents.dqn import dqn_agent
  from dopamine.jax.agents.implicit_quantile import implicit_quantile_agent
  from flax import linen
  import gin
  import jax
  import jax.numpy
  import numpy
label_desc: Use image node_id 4 for calling the ImplicitQuantileAgentTest obj's underlying member method code with example usage: obj.testShapes() without return types