code: def test_unzip_dataset_doesnt_unzip_single_dataset():
      dataset = tf.data.Dataset.from_tensor_slices(
          np.random.rand(10, 32, 2)
      )
      dataset = data_utils.unzip_dataset(dataset)[0]
      dataset = data_utils.unzip_dataset(dataset)[0]
      assert data_utils.dataset_shape(dataset).as_list() == [32, 2]
  
file_path: autokeras/autokeras/utils/data_utils_test.py
imports: import numpy
  import pytest
  import tensorflow
  from autokeras.utils import data_utils
label_desc: Use image node_id 2 for calling a global function with example usage: test_unzip_dataset_doesnt_unzip_single_dataset() without return types