code: def test_structured_data_col_type_no_name_error(tmp_path):
      with pytest.raises(ValueError) as info:
          clf = ak.StructuredDataClassifier(
              column_types={"age": "numerical", "parch": "categorical"},
              directory=tmp_path,
              seed=test_utils.SEED,
          )
          clf.fit(x=np.random.rand(100, 30), y=np.random.rand(100, 1))
  
      assert "column_names must be specified" in str(info.value)
  
file_path: autokeras/autokeras/tasks/structured_data_test.py
imports: from unittest import mock
  import numpy
  import pandas
  import pytest
  from tensorflow import nest
  import autokeras
  from autokeras import test_utils
label_desc: Use image node_id 3 for calling a global function with example usage: test_structured_data_col_type_no_name_error(tmp_path) without return types