code: def end_of_epoch_hook(
      self,
      tester,
      dataset_dict,
      model_folder,
      test_interval=1,
      patience=None,
      splits_to_eval=None,
      test_collate_fn=None,
  ):
      if (
          self.primary_metric
          not in tester.accuracy_calculator.get_curr_metrics()
      ):
          raise ValueError(
              "HookContainer `primary_metric` must be one of: {}".format(
                  tester.accuracy_calculator.get_curr_metrics()
              )
          )
      if not os.path.exists(model_folder):
          os.makedirs(model_folder)
  
      def actual_hook(trainer):
          continue_training = True
          if trainer.epoch % test_interval == 0:
              best_epoch = self.save_models_and_eval(
                  trainer,
                  dataset_dict,
                  model_folder,
                  test_interval,
                  tester,
                  splits_to_eval,
                  test_collate_fn,
              )
              continue_training = self.patience_remaining(
                  trainer.epoch, best_epoch, patience
              )
          return continue_training
  
      return actual_hook
  
imports: import os
  import sqlite3
  import torch
  from .None import common_functions
label_desc: Use image node_id 3 for calling the HookContainer obj's underlying member method code with example usage: obj.end_of_epoch_hook(tester, dataset_dict, model_folder, test_interval, patience, splits_to_eval, test_collate_fn) and returns: actual_hook, continue_training