code: def test_random_forest_multiclass_advanced_tiny(self):
      for code_string in ["b" * 40, "d", "v", "Ad", "bnsCvAd"]:
          train, test = self.generate_data("multiclass", 8, code_string)
          model = tc.random_forest_classifier.create(
              train,
              "target",
              validation_set=None,
              max_depth=3,
              max_iterations=5,
          )
          model.evaluate(
              test
          )  # Previous classifier -- this caused errors.
          self._test_coreml_export(model, test, False)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import tempfile
  import turicreate
  import math
  import uuid
  import random
  import copy
  from turicreate.toolkits import evaluation
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._internal_utils import _mac_ver
  import shutil
  import numpy
  import sys
  import platform
  import array
  import os
  import pytest
label_desc: Use image node_id 31 for calling the CoreMLExportTest obj's underlying member method code with example usage: obj.test_random_forest_multiclass_advanced_tiny() without return types