code: def testTwoStepsDependenceOnTheFirst(self):
      tf_env = TFEnvironmentMock()
      time_step = tf_env.current_time_step()
      self.evaluate(tf.compat.v1.global_variables_initializer())
      with tf.control_dependencies([time_step.step_type]):
          action = tf.constant(1)
      time_step = tf_env.step(action)
      with tf.control_dependencies([time_step.step_type]):
          action = tf.constant(2)
      time_step = self.evaluate(tf_env.step(action))
      self.assertEqual(LAST, time_step.step_type)
      self.assertEqual(1.0, time_step.reward)
      self.assertEqual(0.0, time_step.discount)
      self.assertEqual([2], time_step.observation)
      self.assertEqual(0, self.evaluate(tf_env.resets))
      self.assertEqual(2, self.evaluate(tf_env.steps))
      self.assertEqual(1, self.evaluate(tf_env.episodes))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_agents import specs
  from tf_agents.environments import tf_environment
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
label_desc: Use image node_id 7 for calling the TFEnvironmentTest obj's underlying member method code with example usage: obj.testTwoStepsDependenceOnTheFirst() without return types