code: def test_multidimensional_multidiscrete_one_hot_preprocessor(self):
      space2d = MultiDiscrete([[2, 2], [3, 3]])
      space3d = MultiDiscrete([[[2, 2], [3, 4]], [[5, 6], [7, 8]]])
      pp2d = get_preprocessor(space2d)(space2d)
      pp3d = get_preprocessor(space3d)(space3d)
      self.assertTrue(isinstance(pp2d, OneHotPreprocessor))
      self.assertTrue(isinstance(pp3d, OneHotPreprocessor))
      self.assertTrue(pp2d.shape == (10,))
      self.assertTrue(pp3d.shape == (37,))
      check(
          pp2d.transform(np.array([[1, 0], [2, 1]])),
          [0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0],
      )
      check(
          pp3d.transform(
              np.array([[[0, 1], [2, 3]], [[4, 5], [6, 7]]])
          ),
          [
              1.0,
              0.0,
              0.0,
              1.0,
              0.0,
              0.0,
              1.0,
              0.0,
              0.0,
              0.0,
              1.0,
              0.0,
              0.0,
              0.0,
              0.0,
              1.0,
              0.0,
              0.0,
              0.0,
              0.0,
              0.0,
              1.0,
              0.0,
              0.0,
              0.0,
              0.0,
              0.0,
              0.0,
              1.0,
              0.0,
              0.0,
              0.0,
              0.0,
              0.0,
              0.0,
              0.0,
              1.0,
          ],
      )
  
imports: import gymnasium
  from gymnasium.spaces import Box, Dict, Discrete, MultiDiscrete, Tuple, MultiBinary
  import numpy
  import unittest
  import ray
  import ray.rllib.algorithms.ppo
  from ray.rllib.models.catalog import ModelCatalog
  from ray.rllib.models.preprocessors import DictFlatteningPreprocessor, get_preprocessor, NoPreprocessor, TupleFlatteningPreprocessor, OneHotPreprocessor, AtariRamPreprocessor, GenericPixelPreprocessor, MultiBinaryPreprocessor
  from ray.rllib.utils.test_utils import check, check_compute_single_action, check_train_results, framework_iterator
  from ray.rllib.utils.framework import try_import_tf
label_desc: Use image node_id 11 for calling the TestPreprocessors obj's underlying member method code with example usage: obj.test_multidimensional_multidiscrete_one_hot_preprocessor() without return types