code: def on_fold_end(self, runs: int, *args, **kwargs):
      # TODO: For all `/=` ops herein, conditionally do floor div if `self.run` is non-continuous?
      self.fold /= runs
      self.rep += self.fold
      self.T.fold /= runs
      self.T.rep += self.T.fold
  
imports: from hyperparameter_hunter.data.data_core import BaseDataChunk
  from hyperparameter_hunter.feature_engineering import FeatureEngineer
  from contextlib import suppress
  from copy import deepcopy
  import numpy
  import pandas
label_desc: Use image node_id 5 for calling the BasePredictionChunk obj's underlying member method code with example usage: obj.on_fold_end(runs) without return types