code: def create_batch(self, single_time_step, batch_size):
      batch_time_step = nest_utils.stack_nested_tensors(
          [single_time_step] * batch_size
      )
      return batch_time_step
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.specs import utils
  from tf_agents.policies import random_tf_policy
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the RandomTFPolicyTest obj's underlying member method code with example usage: obj.create_batch(single_time_step, batch_size) and returns: batch_time_step