code: def init_random_seed(worker_id):
      dataset = torch.utils.data.get_worker_info().dataset
      dataset.rng = np.random.RandomState(worker_id)
  
imports: import os
  import platform
  import sys
  from concurrent.futures import ProcessPoolExecutor
  from typing import List, Tuple
  from unittest import skipIf
  import numpy
  import torch
  import torchaudio
  from torchaudio_unittest.common_utils import get_whitenoise, PytorchTestCase, save_wav, skipIfNoSox, TempDirMixin
label_desc: Use image node_id 1 for calling a global function with example usage: init_random_seed(worker_id) without return types