code: def setUp(self):
      sample_rate = 16000
      self.flist = []
      for i in range(10):
          path = self.get_temp_path(f"{i}.wav")
          data = get_whitenoise(
              n_channels=1,
              sample_rate=sample_rate,
              duration=1,
              dtype="float",
          )
          save_wav(path, data, sample_rate)
          self.flist.append(path)
  
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 the TestProcessPoolExecutor obj's underlying member method code with example usage: obj.setUp() without return types