code: def __init__(self, **kwargs):
      super(SarimaForecasterAdapter, self).__init__(**kwargs)
      config = AutoSarimaConfig(
          auto_pqPQ=True,
          auto_d=True,
          auto_D=True,
          auto_seasonality=True,
          approximation=True,
          maxiter=5,
      )
      self.model = AutoSarima(config)
  
imports: from merlion.models.anomaly.forecast_based.prophet import ProphetDetectorConfig, ProphetDetector
  from merlion.models.anomaly.isolation_forest import IsolationForestConfig, IsolationForest
  from merlion.models.anomaly.windstats import WindStatsConfig, WindStats
  from merlion.models.automl.autoprophet import AutoProphetConfig, AutoProphet
  from merlion.models.automl.autosarima import AutoSarimaConfig, AutoSarima
  from merlion.models.forecast.smoother import MSESConfig, MSES
  from merlion.post_process.threshold import AggregateAlarms
  from merlion.transform.moving_average import DifferenceTransform
  from scipy.stats import norm
  from merlion.models.defaults import DefaultDetectorConfig, DefaultDetector, DefaultForecaster, DefaultForecasterConfig
  from merlion.utils import TimeSeries
  from enum import Enum
  import pandas
label_desc: Use image node_id 1 to create a new SarimaForecasterAdapter object from inherited base classes: BaseMerlionForecastAdapter with example: obj = SarimaForecasterAdapter()