code: def testTrain(self):
      # Define the train step counter.
      counter = common.create_variable("test_train_counter")
      agent = random_agent.RandomAgent(
          self._time_step_spec,
          self._action_spec,
          train_step_counter=counter,
          num_outer_dims=2,
      )
      observations = tf.constant(
          [
              [[1, 2], [3, 4], [5, 6]],
              [[1, 2], [3, 4], [5, 6]],
          ],
          dtype=tf.float32,
      )
  
      time_steps = ts.TimeStep(
          step_type=tf.constant([[1] * 3] * 2, dtype=tf.int32),
          reward=tf.constant([[1] * 3] * 2, dtype=tf.float32),
          discount=tf.constant([[1] * 3] * 2, dtype=tf.float32),
          observation=observations,
      )
      actions = tf.constant(
          [[[0], [1], [1]], [[0], [1], [1]]], dtype=tf.float32
      )
  
      experience = trajectory.Trajectory(
          time_steps.step_type,
          observations,
          actions,
          (),
          time_steps.step_type,
          time_steps.reward,
          time_steps.discount,
      )
  
      # Assert that counter starts out at zero.
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.assertEqual(0, self.evaluate(counter))
  
      agent.train(experience)
  
      # Now we should have one iteration.
      self.assertEqual(1, self.evaluate(counter))
  
file_path: agents/tf_agents/agents/random/random_agent_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow.compat.v2
  from tf_agents.agents.random import random_agent
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 3 for calling the RandomAgentTest obj's underlying member method code with example usage: obj.testTrain() without return types