code: def label_decode_cfs(self, cfs_arr):
      ret_df = None
      if cfs_arr is None:
          return None
      for cf in cfs_arr:
          df = self.label_decode(cf)
          if ret_df is None:
              ret_df = df
          else:
              ret_df = pd.concat([ret_df, df])
      return ret_df
  
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 20 for calling the DiceGenetic obj's underlying member method code with example usage: obj.label_decode_cfs(cfs_arr) and returns: ret_df, None