code: def sample_test_case(self, device):
      # From English
      for model_name in self.eng_model_names:
          aug = naw.BackTranslationAug(
              from_model_name=model_name["from_model_name"],
              to_model_name=model_name["to_model_name"],
              device=device,
          )
          augmented_data = aug.augment(self.text)
          augmented_text = augmented_data[0]
          aug.clear_cache()
          self.assertNotEqual(self.text, augmented_text)
  
          augmented_texts = aug.augment(self.texts)
          aug.clear_cache()
          for d, a in zip(self.texts, augmented_texts):
              self.assertNotEqual(d, a)
  
          if device == "cpu":
              self.assertTrue(device == aug.model.get_device())
          elif "cuda" in device:
              self.assertTrue("cuda" in aug.model.get_device())
  
file_path: nlpaug/test/augmenter/word/test_back_translation.py
imports: import unittest
  import os
  import torch
  from dotenv import load_dotenv
  import nlpaug.augmenter.word
  import nlpaug.model.lang_models
label_desc: Use image node_id 2 for calling the TestBackTranslationAug obj's underlying member method code with example usage: obj.sample_test_case(device) without return types