code: def testPrintFormat(self):
      observation = ()
      action = ()
      policy_info = ()
      reward = tf.constant([2.0, 2.0, 2.0])
      discount = tf.constant([0.9, 0.9, 0.9])
  
      traj = trajectory.first(
          observation, action, policy_info, reward, discount
      )
      with self.captureWritesToStream(sys.stdout) as printed:
          print_op = tf.print(traj, output_stream=sys.stdout)
          self.evaluate(print_op)
  
      expected = "'discount': [0.9 0.9 0.9]"
      self.assertIn(expected, printed.contents())
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import sys
  import numpy
  import tensorflow
  from tf_agents.drivers import dynamic_episode_driver
  from tf_agents.drivers import test_utils
  from tf_agents.environments import tf_py_environment
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import test_utils
label_desc: Use image node_id 9 for calling the TrajectoryTest obj's underlying member method code with example usage: obj.testPrintFormat() without return types