code: def time_step_spec(self):
      return ts.time_step_spec(
          observation_spec=array_spec.ArraySpec((1,), np.int32)
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.policies import batched_py_policy
  from tf_agents.policies import py_policy
  from tf_agents.specs import array_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
label_desc: Use image node_id 1 for calling the BatchedPyPolicyTest obj's underlying member method code with example usage: obj.time_step_spec() and returns: ts