class_docstr: Implementation of the classic statistical model SARIMA (Seasonal
  AutoRegressive Integrated Moving Average) for forecasting.
code: def __init__(self, config: SarimaConfig):
      super().__init__(config)
      self.model = None
      self._last_val = None
  
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 1 to create a new Sarima object from inherited base classes: ForecasterExogBase, SeasonalityModel with example: obj = Sarima(config)