def METHOD_NAME(data):
    """Test the functionality for preprocessing fit."""
    data = EQUAL_LENGTH_UNIVARIATE[data]
    cls = BaseCollectionEstimator()
    X = cls._preprocess_collection(data)
    assert cls._n_jobs == 1
    assert len(cls.metadata_) == 4
    assert get_type(X) == "numpy3D"
    tags = {"capability:multithreading": True}
    cls = BaseCollectionEstimator()
    cls.set_tags(**tags)
    with pytest.raises(AttributeError, match="self.n_jobs must be set"):
        cls._preprocess_collection(data)
    # Test two calls do not overwrite metadata (predict should not reset fit meta)
    cls = BaseCollectionEstimator()
    cls._preprocess_collection(data)
    meta = cls.metadata_
    d2 = np.random.random(size=(11, 1, 30))
    cls._preprocess_collection(d2)
    assert meta == cls.metadata_