code: def test_shuffle_on_by_default(self):
      builder = self.create_base_builder()
  
      # base builder already marks two layers as updatable
      self.assertTrue(
          builder.nn_spec.updateParams.shuffle.defaultValue,
          "Shuffle not turned on by default for updatable models",
      )
  
imports: import os, shutil
  import numpy
  import coremltools.models.datatypes
  import unittest
  import pytest
  import tempfile
  from coremltools.models.utils import save_spec
  from coremltools.models import MLModel
  from coremltools.models.neural_network import NeuralNetworkBuilder, AdamParams, SgdParams
  from coremltools.models.pipeline import PipelineRegressor, PipelineClassifier
label_desc: Use image node_id 16 for calling the MLModelUpdatableTest obj's underlying member method code with example usage: obj.test_shuffle_on_by_default() without return types