class_docstr: A class that stores useful data for performing data conversions.
class_docstr_tok: ["A","class","that","stores","useful","data","for","performing","data","conversions","."]
code: def trajectory_spec(self) -> trajectory.Trajectory:
      return self._trajectory_spec
  
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 6 for calling the DataContext obj's underlying member method code with example usage: obj.trajectory_spec() and returns: self