code: def test_n_output_textual(self):
      texts = [
          "The quick brown fox jumps over the lazy dog",
          "Zology raku123456 fasdasd asd4123414 1234584",
          "AAAAAAAAAAA AAAAAAAAAAAAAA",
      ]
      flows = [
          naf.Sequential(
              [nac.RandomCharAug(action="insert"), naw.RandomWordAug()]
          ),
          naf.Sometimes(
              [
                  nac.RandomCharAug(action="insert"),
                  nac.RandomCharAug(action="delete"),
              ],
              aug_p=0.9,
          ),
          naf.Sequential(
              [
                  naf.Sequential(
                      [
                          nac.RandomCharAug(action="insert"),
                          naw.RandomWordAug(),
                      ]
                  ),
                  naf.Sometimes(
                      [
                          nac.RandomCharAug(action="insert"),
                          nac.RandomCharAug(action="delete"),
                      ],
                      aug_p=0.9,
                  ),
              ]
          ),
      ]
  
      for flow in flows:
          for text in texts:
              augmented_texts = flow.augment(text, n=3)
              self.assertGreater(len(augmented_texts), 1)
              for augmented_text in augmented_texts:
                  self.assertNotEqual(augmented_text, text)
  
      self.assertLess(0, len(flows))
      self.assertLess(0, len(texts))
  
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 4 for calling the TestFlow obj's underlying member method code with example usage: obj.test_n_output_textual() without return types