code: def assert_word_dropout_correct(self, x, x_noised, x_len, l_noised):
      # Expect only the first word (2 bpe tokens) of the first example
      # was dropped out
      self.assertEqual(x_len[0] - 2, l_noised[0])
      for i in range(l_noised[0]):
          self.assertEqual(x_noised[i][0], x[i + 2][0])
  
imports: import unittest
  from typing import Dict, List
  import torch
  import tests.utils
  from fairseq import utils
  from fairseq.data import Dictionary, LanguagePairDataset, TransformEosDataset, data_utils, noising
label_desc: Use image node_id 6 for calling the TestDataNoising obj's underlying member method code with example usage: obj.assert_word_dropout_correct(x, x_noised, x_len, l_noised) without return types