class_docstr: Stationary Stochastic Bandit environment with structured features.
  
  This environment can generate global and per-arm observations of any nested
  structure.
class_docstr_tok: ["Stationary","Stochastic","Bandit","environment","with","structured","features",".","This","environment","can","generate","global","and","per-arm","observations","of","any","nested","structure","."]
code: def batch_size(self) -> Optional[int]:
      return self._batch_size
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Callable, Optional, Sequence, Text
  import gin
  import numpy
  import tensorflow
  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
  from tf_agents.utils import nest_utils
label_desc: Use image node_id 3 for calling the StationaryStochasticStructuredPyEnvironment obj's underlying member method code with example usage: obj.batch_size() and returns: self