code: def test_Sarimax_get_info_criteria_skforecast():
      """
      Test ForecasterSarimax get_info_criteria after fit `y` with skforecast.
      """
      forecaster = ForecasterSarimax(regressor=Sarimax(order=(1, 0, 1)))
      forecaster.fit(y=y)
      results = forecaster.get_info_criteria(
          criteria="aic", method="standard"
      )
      expected = -56.80222086732
  
      assert results == pytest.approx(expected)
  
file_path: skforecast/skforecast/ForecasterSarimax/tests/test_get_info_criteria.py
imports: import re
  import pytest
  from pytest import approx
  import numpy
  import pandas
  from pmdarima.arima import ARIMA
  from skforecast.Sarimax import Sarimax
  from skforecast.ForecasterSarimax import ForecasterSarimax
  from skforecast.exceptions import IgnoredArgumentWarning
  from sklearn.linear_model import LinearRegression
  from .fixtures_ForecasterSarimax import y
  from .fixtures_ForecasterSarimax import y_datetime
label_desc: Use image node_id 3 for calling a global function with example usage: test_Sarimax_get_info_criteria_skforecast() without return types