class_docstr: Implements Stationary Stochastic Bandit environments.
code: def batched(self) -> bool:
      return True
  
file_path: agents/tf_agents/bandits/environments/stationary_stochastic_py_environment.py
imports: from typing import Callable, Optional, Sequence, Text
  import gin
  import numpy
  from tf_agents.bandits.environments import bandit_py_environment
  from tf_agents.bandits.specs import utils
  from tf_agents.specs import array_spec
  from tf_agents.typing import types
label_desc: Use image node_id 2 for calling the StationaryStochasticPyEnvironment obj's underlying member method code with example usage: obj.batched() and returns: True