code: def test_n_output_audio(self):
      audio, sampling_rate = AudioLoader.load_audio(
          self.sample_wav_file
      )
  
      flows = [
          naf.Sequential(
              [
                  naa.CropAug(sampling_rate=sampling_rate),
                  naa.LoudnessAug(),
              ]
          ),
          naf.Sometimes(
              [
                  naa.CropAug(sampling_rate=sampling_rate),
                  naa.LoudnessAug(),
              ],
              aug_p=0.9,
          ),
          naf.Sequential(
              [
                  naf.Sequential(
                      [
                          naa.CropAug(sampling_rate=sampling_rate),
                          naa.LoudnessAug(),
                      ]
                  ),
                  naf.Sometimes(
                      [
                          naa.CropAug(sampling_rate=sampling_rate),
                          naa.LoudnessAug(),
                      ],
                      aug_p=0.9,
                  ),
              ]
          ),
      ]
  
      for flow in flows:
          augmented_audios = flow.augment(audio, n=3)
          self.assertGreater(len(augmented_audios), 1)
          for augmented_audio in augmented_audios:
              self.assertFalse(np.array_equal(audio, augmented_audio))
  
      self.assertLess(0, len(flows))
  
imports: import unittest
  import os
  import numpy
  from dotenv import load_dotenv
  import nlpaug.augmenter.char
  import nlpaug.augmenter.word
  import nlpaug.augmenter.audio
  import nlpaug.augmenter.spectrogram
  import nlpaug.flow
  from nlpaug.util.audio.loader import AudioLoader
  from nlpaug.util import Action
label_desc: Use image node_id 5 for calling the TestFlow obj's underlying member method code with example usage: obj.test_n_output_audio() without return types