code: def test_auto_arima_model_save_and_load(
      auto_arima_model, model_path, serialization_format
  ):
      """Test saving and loading of native sktime auto_arima_model."""
      from sktime.utils import mlflow_sktime
  
      mlflow_sktime.save_model(
          sktime_model=auto_arima_model,
          path=model_path,
          serialization_format=serialization_format,
      )
      loaded_model = mlflow_sktime.load_model(
          model_uri=model_path,
      )
  
      np.testing.assert_array_equal(
          auto_arima_model.predict(), loaded_model.predict()
      )
  
imports: import os
  import sys
  from pathlib import Path
  from unittest import mock
  import numpy
  import pandas
  import pytest
  from sktime.datasets import load_airline, load_arrow_head, load_longley
  from sktime.forecasting.arima import AutoARIMA
  from sktime.forecasting.naive import NaiveForecaster
  from sktime.split import temporal_train_test_split
  from sktime.utils.multiindex import flatten_multiindex
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 10 for calling a global function with example usage: test_auto_arima_model_save_and_load(auto_arima_model, model_path, serialization_format) without return types