def METHOD_NAME():
    ld = cl.load_sample('raa').latest_diagonal*0+40000
    model = cl.BornhuetterFerguson().fit(cl.load_sample('raa'), sample_weight=ld)
    a = model.ultimate_.iloc[..., :4, :] 
    b = model.predict(
        cl.load_sample('raa').dev_to_val().iloc[..., :4, -1].val_to_dev(),
        sample_weight=ld.iloc[..., :4, :]).ultimate_
    assert a == b
    model = cl.Chainladder().fit(cl.load_sample('raa'), sample_weight=ld)
    a = model.ultimate_.iloc[..., :4, :] 
    b = model.predict(
        cl.load_sample('raa').dev_to_val().iloc[..., :4, -1].val_to_dev(),
        sample_weight=ld.iloc[..., :4, :]).ultimate_
    assert a == b