code: def _as_tfa_transition(
      value: typing.Tuple[typing.Any, typing.Any, typing.Any]
  ):
      """Makes sure the transition and its values are TFA types."""
      time_step, action_step, next_time_step = value
      time_step = ts.TimeStep(*time_step)
      action_step = policy_step.PolicyStep(*action_step)
      next_time_step = ts.TimeStep(*next_time_step)
      return trajectory.Transition(
          time_step, action_step, next_time_step
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import typing
  import tensorflow
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.typing import types
  from tf_agents.utils import composite
  from tf_agents.utils import nest_utils
  import typing_extensions
label_desc: Use image node_id 3 for calling a global function with example usage: _as_tfa_transition(value) and returns: trajectory