code: def apply_overfit_test(
      overfit_test,
      overfit_test_sample_count,
      overfit_test_epoch_data_count,
      dataset,
  ):
      """Applies the overfit test to the specified dataset,
      as configured in the hyperparameters file
  
      Arguments
      ---------
  
      overfit_test: bool
          when True the overfitting test is performed
      overfit_test_sample_count: int
          number of samples for the overfitting test
      overfit_test_epoch_data_count: int
          number of epochs for the overfitting test
  
      dataset: DynamicItemDataset
          the dataset
  
      Returns
      -------
      dataset: DynamicItemDataset
          the dataset, with the overfit test apply
      """
      if overfit_test:
          sample_count = overfit_test_sample_count
          epoch_data_count = overfit_test_epoch_data_count
          dataset = dataset.overfit_test(sample_count, epoch_data_count)
      return dataset
  
imports: import copy
  import contextlib
  from types import MethodType
  from torch.utils.data import Dataset
  from speechbrain.utils.data_pipeline import DataPipeline
  from speechbrain.dataio.dataio import load_data_json, load_data_csv
  from speechbrain.utils.data_utils import batch_shuffle
  import logging
  import math
label_desc: Use image node_id 3 for calling a global function with example usage: apply_overfit_test(overfit_test, overfit_test_sample_count, overfit_test_epoch_data_count, dataset) and returns: dataset