code: def test_sd_clf_init_hp0_equals_hp_of_a_model(tmp_path):
      clf = ak.StructuredDataClassifier(
          directory=tmp_path,
          column_names=["a", "b"],
          column_types={"a": "numerical", "b": "numerical"},
      )
      clf.inputs[0].shape = (2,)
      clf.outputs[0].in_blocks[0].shape = (10,)
      init_hp = task_specific.STRUCTURED_DATA_CLASSIFIER[0]
      hp = keras_tuner.HyperParameters()
      hp.values = copy.copy(init_hp)
  
      clf.tuner.hypermodel.build(hp)
  
      assert set(init_hp.keys()) == set(hp._hps.keys())
  
file_path: autokeras/autokeras/tuners/task_specific_test.py
imports: import copy
  import keras_tuner
  import autokeras
  from autokeras.tuners import task_specific
label_desc: Use image node_id 7 for calling a global function with example usage: test_sd_clf_init_hp0_equals_hp_of_a_model(tmp_path) without return types