code: def test_Sarimax_get_info_criteria(y, exog):
      """
      Test Sarimax get_info_criteria after fit `y` and `exog`.
      """
  
      sarimax_sk = Sarimax(order=(3, 2, 0), disp=0)
      sarimax_sk.fit(y=y, exog=exog)
  
      sarimax_sm = SARIMAX(order=(3, 2, 0), endog=y, exog=exog)
      sarimax_res = sarimax_sm.fit(disp=0)
  
      results_skforecast = sarimax_sk.get_info_criteria(
          criteria="aic", method="standard"
      )
      results_statsmodels = sarimax_res.info_criteria(
          criteria="aic", method="standard"
      )
  
      # expected = -42.00040332298444
  
      # assert results_skforecast == expected
      # assert results_statsmodels == expected
      assert results_skforecast == pytest.approx(results_statsmodels)
  
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 26 for calling a global function with example usage: test_Sarimax_get_info_criteria(y, exog) without return types