code: def test_config(self):
      layer = layers.TextVectorization(
          output_mode="int",
          vocabulary=["one", "two"],
          output_sequence_length=5,
      )
      self.run_class_serialization_test(layer)
  
file_path: keras/keras/layers/preprocessing/text_vectorization_test.py
imports: import numpy
  import pytest
  import tensorflow
  from tensorflow import data
  from keras import backend
  from keras import layers
  from keras import models
  from keras import testing
label_desc: Use image node_id 1 for calling the TextVectorizationTest obj's underlying member method code with example usage: obj.test_config() without return types