code: def test_sequences_to_texts():
      texts = [
          "The cat sat on the mat.",
          "The dog sat on the log.",
          "Dogs and cats living together.",
      ]
      tokenizer = keras.preprocessing.text.Tokenizer(
          num_words=10, oov_token="<unk>"
      )
      tokenizer.fit_on_texts(texts)
      tokenized_text = tokenizer.texts_to_sequences(texts)
      trans_text = tokenizer.sequences_to_texts(tokenized_text)
      assert trans_text == [
          "the cat sat on the mat",
          "the dog sat on the log",
          "dogs <unk> <unk> <unk> <unk>",
      ]
  
imports: from collections import OrderedDict
  import numpy
  import pytest
  from tensorflow import keras
  from keras_preprocessing import text
label_desc: Use image node_id 19 for calling a global function with example usage: test_sequences_to_texts() without return types