code: def test_train_vocab_init(self):
      vocab = set()
      for words in np.r_[self.x_train, self.x_test, self.x_test]:
          for word in words:
              vocab.add(word)
      model = anago.Sequence(
          initial_vocab=vocab, embeddings=self.embeddings
      )
      model.fit(self.x_train, self.y_train, self.x_test, self.y_test)
  
file_path: anago/tests/test_wrapper.py
imports: import os
  import unittest
  from pprint import pprint
  import numpy
  from keras.callbacks import ModelCheckpoint
  import anago
  from anago.utils import load_data_and_labels, load_glove
label_desc: Use image node_id 7 for calling the TestWrapper obj's underlying member method code with example usage: obj.test_train_vocab_init() without return types