code: def _time_step(self):
      return ts.restart(tf.constant([1, 2], dtype=tf.float32))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.networks import actor_distribution_network
  from tf_agents.networks import network
  from tf_agents.policies import actor_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 2 for calling the ActorPolicyDiscreteActionsTest obj's underlying member method code with example usage: obj._time_step() and returns: ts