code: def test_structured_clf_fit_call_auto_model_fit(fit, tmp_path):
      auto_model = ak.StructuredDataClassifier(
          directory=tmp_path, seed=test_utils.SEED
      )
  
      auto_model.fit(
          x=pd.read_csv(test_utils.TRAIN_CSV_PATH)
          .to_numpy()
          .astype(str)[:100],
          y=test_utils.generate_one_hot_labels(
              num_instances=100, num_classes=3
          ),
      )
  
      assert fit.is_called
  
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 7 for calling a global function with example usage: test_structured_clf_fit_call_auto_model_fit(fit, tmp_path) without return types