code: def _choose_states(states, indices, state_batch_axis=None):
      """
  
      Parameters
      ----------
      states : Object contains mx.np.ndarray
      indices : mx.np.ndarray
          Indices of the states to take. Shape (N,).
      state_batch_axis
          Descriptors for states, it is generated from decoder's ``state_batch_axis``.
          When None, this method assumes that the batch axis is the first dimension.
  
      Returns
      -------
      new_states : Object contains mx.np.ndarray
          Each mx.np.ndarray should have shape (..., N, ...).
      """
      if isinstance(states, (list, tuple)):
          if state_batch_axis is not None:
              return [
                  _choose_states(d, indices, b_axis)
                  for d, b_axis in zip(states, state_batch_axis)
              ]
          else:
              return [_choose_states(d, indices, None) for d in states]
      elif isinstance(states, dict):
          if state_batch_axis is not None:
              return {
                  k: _choose_states(v, indices, state_batch_axis[k])
                  for k, v in states.items()
              }
          else:
              return {
                  k: _choose_states(v, indices, None)
                  for k, v in states.items()
              }
      elif isinstance(states, mx.np.ndarray):
          if state_batch_axis is None:
              batch_axis = 0
          else:
              batch_axis = state_batch_axis
          states = mx.np.take(states, indices, axis=batch_axis)
          return states
      else:
          raise TypeError(
              "The type of the states is not supported, type(states) = {}".format(
                  type(states)
              )
          )
  
imports: import warnings
  import mxnet
  import abc
  from mxnet.gluon import HybridBlock
  from typing import Callable, Optional
  from .layers import get_activation
label_desc: Use image node_id 2 for calling a global function with example usage: _choose_states(states, indices, state_batch_axis) and returns: unknown, unknown, unknown, unknown, states