code: def get_whitenoise(self, sample_rate=8000):
      noise = get_whitenoise(
          sample_rate=sample_rate,
          duration=3,
          scale_factor=0.9,
      )
      path = self.get_temp_path("whitenoise.wav")
      save_wav(path, noise, sample_rate)
      return noise, path
  
file_path: audio/test/torchaudio_unittest/transforms/sox_compatibility_test.py
imports: import warnings
  import torch
  import torchaudio.transforms
  from parameterized import parameterized
  from torchaudio_unittest.common_utils import get_asset_path, get_whitenoise, load_wav, save_wav, skipIfNoExec, skipIfNoSox, sox_utils, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 3 for calling the TestFunctionalFiltering obj's underlying member method code with example usage: obj.get_whitenoise(sample_rate) and returns: noise,  path