code: def test_structured_block_search_normalize_return_tensor():
      block = blocks.StructuredDataBlock(name="a")
      block.column_names = ["0", "1"]
      block.column_types = {
          "0": analysers.NUMERICAL,
          "1": analysers.NUMERICAL,
      }
      hp = keras_tuner.HyperParameters()
      hp.values["a/" + blocks.wrapper.NORMALIZE] = True
  
      outputs = block.build(
          hp, keras.Input(shape=(2,), dtype=tf.string)
      )
  
      assert len(nest.flatten(outputs)) == 1
  
imports: import keras_tuner
  import tensorflow
  from tensorflow import keras
  from tensorflow import nest
  from autokeras import analysers
  from autokeras import blocks
  from autokeras import test_utils
label_desc: Use image node_id 14 for calling a global function with example usage: test_structured_block_search_normalize_return_tensor() without return types