def METHOD_NAME(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())