def METHOD_NAME() -> None:
    adapted = keras._adapt_data_from_fit_args(
        x={"k1": np.arange(0, 100), "k2": np.arange(100, 200)},
        y=np.arange(200, 300),
        sample_weight=None,
        batch_size=16,
    )
    assert isinstance(adapted, Sequence)
    assert len(adapted) == 7
    batch_x, batch_y = adapted[3]
    assert np.array_equal(batch_x["k1"], np.arange(48, 64))
    assert np.array_equal(batch_x["k2"], np.arange(148, 164))
    assert np.array_equal(batch_y, np.arange(248, 264))