code: def on_rep_end(self):
      initial_rep_prediction = deepcopy(
          self.data_holdout.prediction.rep
      )
      initial_final_prediction = deepcopy(
          self.data_holdout.prediction.final
      )
  
      super().on_rep_end()
  
      self.__assert_prediction_is_df(["final", "rep", "fold", "run"])
      expected_rep_prediction = (
          initial_rep_prediction / self.cv_params["n_splits"]
      )
      expected_final_prediction = (
          initial_final_prediction + self.data_holdout.prediction.rep
      )
      assert self.data_holdout.prediction.rep.equals(
          expected_rep_prediction
      )
      assert self.data_holdout.prediction.final.equals(
          expected_final_prediction
      )
  
imports: from hyperparameter_hunter import Environment, CVExperiment
  from hyperparameter_hunter.callbacks.bases import BaseCallback
  from hyperparameter_hunter.settings import G
  from hyperparameter_hunter.utils.learning_utils import get_breast_cancer_data
  from copy import deepcopy
  import pandas
  import pytest
  from sklearn.datasets import load_iris
  from sklearn.metrics import f1_score
  from sklearn.model_selection import train_test_split
  from sklearn.preprocessing import LabelEncoder
  from xgboost import XGBClassifier
label_desc: Use image node_id 7 for calling the DummyExperimentPredictorHoldout obj's underlying member method code with example usage: obj.on_rep_end() without return types