code: def test_dataset_and_y(tuner_fn, tmp_path):
      x1 = test_utils.generate_data()
      y1 = test_utils.generate_data(shape=(1,))
      x = tf.data.Dataset.from_tensor_slices((x1, x1))
      y = tf.data.Dataset.from_tensor_slices((y1, y1))
      val_dataset = tf.data.Dataset.from_tensor_slices(
          ((x1,), (y1, y1))
      )
      dataset_error(
          x, y, val_dataset, "Expected y to be None", tmp_path
      )
  
imports: from unittest import mock
  import keras_tuner
  import numpy
  import pytest
  import tensorflow
  import autokeras
  from autokeras import test_utils
label_desc: Use image node_id 20 for calling a global function with example usage: test_dataset_and_y(tuner_fn, tmp_path) without return types