class_docstr: Counts up in the observation as steps are taken.
  
  Step observation values are of the form (episodes, self._current_step)
class_docstr_tok: ["Counts","up","in","the","observation","as","steps","are","taken",".","Step","observation","values","are","of","the","form","(","episodes",",","self._current_step",")"]
code: def action_spec(self):
      return specs.BoundedArraySpec(
          (), dtype=np.int32, minimum=0, maximum=1
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gin
  import numpy
  from tf_agents import specs
  from tf_agents.environments import py_environment
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
label_desc: Use image node_id 3 for calling the EpisodeCountingEnv obj's underlying member method code with example usage: obj.action_spec() and returns: specs