code: def test_Sarimax__repr__(capfd):
      """
      Check information printed by a Sarimax object.
      """
  
      sarimax = Sarimax(order=(1, 2, 3), seasonal_order=(4, 5, 6, 12))
      expected_out = "Sarimax(1,2,3)(4,5,6)[12]\n"
  
      print(sarimax)
      out, _ = capfd.readouterr()
  
      assert out == expected_out
  
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 3 for calling a global function with example usage: test_Sarimax__repr__(capfd) without return types