code: def get_valid_feature_range(self, normalized=False):
      ret = self.data_interface.get_valid_feature_range(
          self.feature_range, normalized=normalized
      )
      for feat_name in self.data_interface.categorical_feature_names:
          ret[feat_name] = self.labelencoder[feat_name].transform(
              ret[feat_name]
          )
      return ret
  
imports: import copy
  import random
  import timeit
  import numpy
  import pandas
  from raiutils.exceptions import UserConfigValidationException
  from dice_ml import diverse_counterfactuals
  from dice_ml.constants import ModelTypes
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 21 for calling the DiceGenetic obj's underlying member method code with example usage: obj.get_valid_feature_range(normalized) and returns: ret