code: def empty_input(self, aug):
      text = ""
  
      augmented_data = aug.augment(text)
      self.assertEqual(len(augmented_data), 0)
  
      texts = []
      augmented_text = aug.augment(text)
      self.assertEqual(len(augmented_data), 0)
  
file_path: nlpaug/test/augmenter/sentence/test_abst_summ.py
imports: import unittest
  import os
  import torch
  from dotenv import load_dotenv
  import nlpaug.augmenter.sentence
  import nlpaug.util.text.tokenizer
label_desc: Use image node_id 5 for calling the TestAbstSummAug obj's underlying member method code with example usage: obj.empty_input(aug) without return types