code: def action_spec(self):
      return array_spec.BoundedArraySpec(
          [7], dtype=np.float32, minimum=-1.0, maximum=1.0
      )
  
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 2 for calling the BatchedPyPolicyTest obj's underlying member method code with example usage: obj.action_spec() and returns: array_spec