code: def test_Sarimax_create_sarimax():
      """
      Test statsmodels SARIMAX is correctly create with _create_sarimax.
      """
  
      sarimax = Sarimax(order=(1, 1, 1))
      sarimax._create_sarimax(endog=y)
      sarimax_stats = sarimax.sarimax
  
      assert isinstance(sarimax_stats, SARIMAX)
      assert sarimax_stats.order == (1, 1, 1)
  
imports: import re
  import pytest
  import numpy
  import pandas
  from sklearn.exceptions import NotFittedError
  from skforecast.Sarimax import Sarimax
  from statsmodels.tsa.statespace.sarimax import SARIMAX
  from statsmodels.tsa.statespace.sarimax import SARIMAXResults
  from statsmodels.tsa.statespace.sarimax import SARIMAXResultsWrapper
  from .fixtures_Sarimax import y
  from .fixtures_Sarimax import y_lw
  from .fixtures_Sarimax import exog
  from .fixtures_Sarimax import exog_lw
  from .fixtures_Sarimax import exog_predict
  from .fixtures_Sarimax import exog_lw_predict
  from .fixtures_Sarimax import y_datetime
  from .fixtures_Sarimax import exog_datetime
  from .fixtures_Sarimax import exog_predict_datetime
label_desc: Use image node_id 7 for calling a global function with example usage: test_Sarimax_create_sarimax() without return types