code: def test_parametrized_gan_dataset():
      """test dataloader with different parameters"""
      params = [
          [
              32,
              C.audio["hop_length"] * 10,
              C.audio["hop_length"],
              0,
              True,
              False,
              True,
              0,
          ],
          [
              32,
              C.audio["hop_length"] * 10,
              C.audio["hop_length"],
              0,
              True,
              False,
              True,
              4,
          ],
          [
              1,
              C.audio["hop_length"] * 10,
              C.audio["hop_length"],
              0,
              True,
              True,
              True,
              0,
          ],
          [
              1,
              C.audio["hop_length"],
              C.audio["hop_length"],
              0,
              True,
              True,
              True,
              0,
          ],
          [
              1,
              C.audio["hop_length"] * 10,
              C.audio["hop_length"],
              2,
              True,
              True,
              True,
              0,
          ],
          [
              1,
              C.audio["hop_length"] * 10,
              C.audio["hop_length"],
              0,
              False,
              True,
              True,
              0,
          ],
          [
              1,
              C.audio["hop_length"] * 10,
              C.audio["hop_length"],
              0,
              True,
              False,
              True,
              0,
          ],
          [
              1,
              C.audio["hop_length"] * 10,
              C.audio["hop_length"],
              0,
              True,
              True,
              False,
              0,
          ],
          [
              1,
              C.audio["hop_length"] * 10,
              C.audio["hop_length"],
              0,
              False,
              False,
              False,
              0,
          ],
      ]
      for param in params:
          print(param)
          gan_dataset_case(*param)
  
file_path: TTS/tests/test_vocoder_gan_datasets.py
imports: import os
  import numpy
  from tests import get_tests_path, get_tests_input_path, get_tests_output_path
  from torch.utils.data import DataLoader
  from TTS.utils.audio import AudioProcessor
  from TTS.utils.io import load_config
  from TTS.vocoder.datasets.gan_dataset import GANDataset
  from TTS.vocoder.datasets.preprocess import load_wav_data
label_desc: Use image node_id 2 for calling a global function with example usage: test_parametrized_gan_dataset() without return types