code: def _get_experience(initial_step, action_step, final_step):
      single_experience = driver_utils.trajectory_for_bandit(
          initial_step, action_step, final_step
      )
      # Adds a 'time' dimension.
      return tf.nest.map_structure(
          lambda x: tf.expand_dims(tf.convert_to_tensor(x), 1),
          single_experience,
      )
  
imports: import numpy
  import tensorflow
  from tf_agents.bandits.agents import bernoulli_thompson_sampling_agent
  from tf_agents.bandits.drivers import driver_utils
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
label_desc: Use image node_id 4 for calling a global function with example usage: _get_experience(initial_step, action_step, final_step) and returns: tf