code: def test_word_dropout_with_eos(self):
      vocab, x, x_len = self._get_test_data_with_bpe_cont_marker(
          append_eos=True
      )
  
      with data_utils.numpy_seed(1234):
          noising_gen = noising.WordDropout(vocab)
          x_noised, l_noised = noising_gen.noising(x, x_len, 0.2)
          self.assert_word_dropout_correct(
              x=x, x_noised=x_noised, x_len=x_len, l_noised=l_noised
          )
          self.assert_eos_at_end(
              x=x_noised, x_len=l_noised, eos=vocab.eos()
          )
  
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 7 for calling the TestDataNoising obj's underlying member method code with example usage: obj.test_word_dropout_with_eos() without return types