class_docstr: Implementation of the classic statistical model SARIMA (Seasonal
  AutoRegressive Integrated Moving Average) for forecasting.
code: def _max_lookback(self) -> int:
      if self.model is None:
          return 0
      orders = self.model.model_orders
      if orders["reduced_ma"] > 0:
          return 0
      return 2 * orders["reduced_ar"] + 1
  
imports: import logging
  import warnings
  from typing import List, Tuple
  import numpy
  import pandas
  import statsmodels.api
  from merlion.models.automl.seasonality import SeasonalityModel
  from merlion.models.forecast.base import ForecasterExogBase, ForecasterExogConfig
  from merlion.transform.resample import TemporalResample
  from merlion.utils.time_series import UnivariateTimeSeries, to_pd_datetime, to_timestamp
label_desc: Use image node_id 6 for calling the Sarima obj's underlying member method code with example usage: obj._max_lookback() and returns: unknown, int, int