code: def test_predict_interval_output_ForecasterSarimax_skforecast_Sarimax(
      alpha, interval
  ):
      """
      Test predict_interval output of ForecasterSarimax using Sarimax from skforecast.
      """
      forecaster = ForecasterSarimax(
          regressor=Sarimax(
              maxiter=2000, method="cg", disp=False, order=(3, 2, 0)
          )
      )
      forecaster.fit(y=y)
      predictions = forecaster.predict_interval(
          steps=5, alpha=alpha, interval=interval
      )
      expected = pd.DataFrame(
          data=np.array(
              [
                  [0.53809981, 0.24275351, 0.83344611],
                  [0.53145374, 0.0431938, 1.01971368],
                  [0.53763636, -0.12687285, 1.20214556],
                  [0.52281442, -0.35748984, 1.40311868],
                  [0.49770378, -0.64436866, 1.63977622],
              ]
          ),
          columns=["pred", "lower_bound", "upper_bound"],
          index=pd.RangeIndex(start=50, stop=55, step=1),
      )
  
      pd.testing.assert_frame_equal(predictions, expected)
  
imports: import re
  import pytest
  import numpy
  import pandas
  from sklearn.exceptions import NotFittedError
  from pmdarima.arima import ARIMA
  from skforecast.Sarimax import Sarimax
  from skforecast.ForecasterSarimax import ForecasterSarimax
  from skforecast.utils import expand_index
  from sklearn.compose import ColumnTransformer
  from sklearn.preprocessing import StandardScaler
  from sklearn.preprocessing import OneHotEncoder
  from .fixtures_ForecasterSarimax import y
  from .fixtures_ForecasterSarimax import y_lw
  from .fixtures_ForecasterSarimax import exog
  from .fixtures_ForecasterSarimax import exog_lw
  from .fixtures_ForecasterSarimax import exog_predict
  from .fixtures_ForecasterSarimax import exog_lw_predict
  from .fixtures_ForecasterSarimax import y_datetime
  from .fixtures_ForecasterSarimax import y_lw_datetime
  from .fixtures_ForecasterSarimax import exog_datetime
  from .fixtures_ForecasterSarimax import exog_lw_datetime
  from .fixtures_ForecasterSarimax import exog_predict_datetime
  from .fixtures_ForecasterSarimax import exog_lw_predict_datetime
  from .fixtures_ForecasterSarimax import df_exog
  from .fixtures_ForecasterSarimax import df_exog_lw
  from .fixtures_ForecasterSarimax import df_exog_predict
  from .fixtures_ForecasterSarimax import df_exog_lw_predict
  from .fixtures_ForecasterSarimax import df_exog_datetime
  from .fixtures_ForecasterSarimax import df_exog_lw_datetime
  from .fixtures_ForecasterSarimax import df_exog_predict_datetime
  from .fixtures_ForecasterSarimax import df_exog_lw_predict_datetime
label_desc: Use image node_id 6 for calling a global function with example usage: test_predict_interval_output_ForecasterSarimax_skforecast_Sarimax(alpha, interval) without return types