code: def test_sequences_to_texts_no_num_words():
      x_train = ["This text has only known words this text"]
      x_test = ["This text has some unknown words"]
  
      tokenizer = keras.preprocessing.text.Tokenizer(oov_token="<unk>")
  
      tokenizer.fit_on_texts(x_train)
      x_test_seq = tokenizer.texts_to_sequences(x_test)
      trans_text = tokenizer.sequences_to_texts(x_test_seq)
      assert trans_text == ["this text has <unk> <unk> words"]
  
imports: from collections import OrderedDict
  import numpy
  import pytest
  from tensorflow import keras
  from keras_preprocessing import text
label_desc: Use image node_id 16 for calling a global function with example usage: test_sequences_to_texts_no_num_words() without return types