docstr:     Issue#10: contains one character words like: 'I a'
  :return:
docstr_tok: ["Issue","#","10",":","contains","one","character","words","like",":","'","I","a'",":","return",":"]
code: def test_single_word(self):
      """
          Issue#10: contains one character words like: 'I a'
      :return:
      """
  
      texts = ["I a", "I"]
  
      aug = self.augs[0]  # WordNet only
      for text in texts:
          self.assertLess(0, len(text))
          augmented_data = aug.augment(text)
          augmented_text = augmented_data[0]
          self.assertNotEqual(text, augmented_text)
  
      self.assertLess(0, len(texts))
  
      texts = [
          "a",
      ]
  
      for aug in self.augs:
          for text in texts:
              self.assertLess(0, len(text))
              augmented_data = aug.augment(text)
              augmented_text = augmented_data[0]
              self.assertEqual(text, augmented_text)
  
      self.assertLess(0, len(texts))
  
file_path: nlpaug/test/augmenter/word/test_synonym.py
imports: import unittest
  import os
  from dotenv import load_dotenv
  import nlpaug.augmenter.word
label_desc: Use image node_id 5 for calling the TestSynonym obj's underlying member method code with example usage: obj.test_single_word() without return types