code: def iterate(space: Space, items) -> Iterator:
      """Iterate over the elements of a (batched) space.
  
      Example::
  
          >>> from gym.spaces import Box, Dict
          >>> space = Dict({
          ... 'position': Box(low=0, high=1, shape=(2, 3), dtype=np.float32),
          ... 'velocity': Box(low=0, high=1, shape=(2, 2), dtype=np.float32)})
          >>> items = space.sample()
          >>> it = iterate(space, items)
          >>> next(it)
          {'position': array([-0.99644893, -0.08304597, -0.7238421 ], dtype=float32),
          'velocity': array([0.35848552, 0.1533453 ], dtype=float32)}
          >>> next(it)
          {'position': array([-0.67958736, -0.49076623,  0.38661423], dtype=float32),
          'velocity': array([0.7975036 , 0.93317133], dtype=float32)}
          >>> next(it)
          StopIteration
  
      Args:
          space: Space to which `items` belong to.
          items: Items to be iterated over.
  
      Returns:
          Iterator over the elements in `items`.
  
      Raises:
          ValueError: Space is not an instance of :class:`gym.Space`
      """
      raise ValueError(
          f"Space of type `{type(space)}` is not a valid `gym.Space` instance."
      )
  
imports: from collections import OrderedDict
  from copy import deepcopy
  from functools import singledispatch
  from typing import Iterator
  import numpy
  from gym.error import CustomSpaceError
  from gym.spaces import Box, Dict, Discrete, MultiBinary, MultiDiscrete, Space, Tuple
label_desc: Use image node_id 9 for calling a global function with example usage: iterate(space, items) without return types