code: def __init__(
      self,
      constants: SilverkiteSeasonalityEnumMixin = default_silverkite_constant,
  ):
      self._silverkite_seasonality_enum: Type[
          SilverkiteSeasonalityEnum
      ] = constants.get_silverkite_seasonality_enum()
  
imports: import re
  import warnings
  from typing import Type
  import numpy
  import pandas
  from pandas.plotting import register_matplotlib_converters
  from pandas.tseries.frequencies import to_offset
  from greykite.algo.changepoint.adalasso.changepoint_detector import get_changepoints_dict
  from greykite.algo.changepoint.adalasso.changepoint_detector import get_seasonality_changepoints
  from greykite.algo.changepoint.adalasso.changepoints_utils import build_seasonality_feature_df_from_detection_result
  from greykite.algo.changepoint.adalasso.changepoints_utils import get_seasonality_changepoint_df_cols
  from greykite.algo.common.ml_models import fit_ml_model_with_evaluation
  from greykite.algo.common.ml_models import predict_ml
  from greykite.algo.common.ml_models import predict_ml_with_uncertainty
  from greykite.algo.forecast.silverkite.constants.silverkite_constant import default_silverkite_constant
  from greykite.algo.forecast.silverkite.constants.silverkite_seasonality import SilverkiteSeasonalityEnum
  from greykite.algo.forecast.silverkite.constants.silverkite_seasonality import SilverkiteSeasonalityEnumMixin
  from greykite.algo.forecast.silverkite.forecast_silverkite_helper import get_fourier_feature_col_names
  from greykite.algo.forecast.silverkite.forecast_silverkite_helper import get_similar_lag
  from greykite.common.constants import CHANGEPOINT_COL_PREFIX
  from greykite.common.constants import ERR_STD_COL
  from greykite.common.constants import QUANTILE_SUMMARY_COL
  from greykite.common.constants import SEASONALITY_REGEX
  from greykite.common.constants import TimeFeaturesEnum
  from greykite.common.enums import TimeEnum
  from greykite.common.features.timeseries_features import add_daily_events
  from greykite.common.features.timeseries_features import add_time_features_df
  from greykite.common.features.timeseries_features import fourier_series_multi_fcn
  from greykite.common.features.timeseries_features import get_changepoint_dates_from_changepoints_dict
  from greykite.common.features.timeseries_features import get_changepoint_features
  from greykite.common.features.timeseries_features import get_changepoint_features_and_values_from_config
  from greykite.common.features.timeseries_features import get_default_origin_for_time_vars
  from greykite.common.features.timeseries_lags import build_autoreg_df
  from greykite.common.features.timeseries_lags import build_autoreg_df_multi
  from greykite.common.logging import LoggingLevelEnum
  from greykite.common.logging import log_message
  from greykite.common.python_utils import get_pattern_cols
  from greykite.common.python_utils import unique_elements_in_list
  from greykite.common.time_properties import describe_timeseries
  from greykite.common.time_properties import fill_missing_dates
  from greykite.common.time_properties import min_gap_in_seconds
  from greykite.common.time_properties_forecast import get_default_horizon_from_period
label_desc: Use image node_id 1 to create a new SilverkiteForecast object  with example: obj = SilverkiteForecast(constants)