code: def test_sequential_fit():
      texts = [
          "The cat sat on the mat.",
          "The dog sat on the log.",
          "Dogs and cats living together.",
      ]
      word_sequences = [
          ["The", "cat", "is", "sitting"],
          ["The", "dog", "is", "standing"],
      ]
  
      tokenizer = text.Tokenizer()
      tokenizer.fit_on_texts(texts)
      tokenizer.fit_on_texts(word_sequences)
  
      assert tokenizer.document_count == 5
  
      tokenizer.texts_to_matrix(texts)
      tokenizer.texts_to_matrix(word_sequences)
  
imports: from collections import OrderedDict
  import numpy
  import pytest
  from tensorflow import keras
  from keras_preprocessing import text
label_desc: Use image node_id 7 for calling a global function with example usage: test_sequential_fit() without return types