code: def _get_nonconformity_scores(
      self, time_series: pd.Series, local_model_args: Dict
  ):
      scores = super()._get_nonconformity_scores(
          time_series, local_model_args
      )
      self.returned_nonconformity_scores = scores
      return scores
  
imports: import logging
  from typing import Dict
  import numpy
  import pandas
  import pytest
  from autogluon.timeseries import TimeSeriesDataFrame
  from autogluon.timeseries.models.local import ADIDAModel, AutoARIMAModel, AutoCESModel, AutoETSModel, AverageModel, CrostonClassicModel, CrostonOptimizedModel, CrostonSBAModel, DynamicOptimizedThetaModel, ETSModel, IMAPAModel, NaiveModel, NPTSModel, SeasonalAverageModel, SeasonalNaiveModel, ThetaModel, ZeroModel
  from autogluon.timeseries.models.local.statsforecast import AbstractConformalizedStatsForecastModel
  from ..common import DUMMY_TS_DATAFRAME, DUMMY_VARIABLE_LENGTH_TS_DATAFRAME, dict_equal_primitive, get_data_frame_with_item_index
label_desc: Use image node_id 2 for calling the MockConformalModel obj's underlying member method code with example usage: obj._get_nonconformity_scores(time_series, local_model_args) and returns: scores