def METHOD_NAME(self):
    num0 = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8], dtype=float).reshape(-1, 1)
    den0 = np.array([0, 10, 10, 10, 10, 10, 10, 100, 101], dtype=float)
    num1, den1 = ClaimsHospIndicator.backwards_pad(num0, den0, k=7,
                                                   min_visits_to_fill=0)
    assert np.array_equal(num0, num1)
    assert np.array_equal(den0, den1)
    num2, den2 = ClaimsHospIndicator.backwards_pad(num0, den0, k=7,
                                                   min_visits_to_fill=11)
    exp_num2 = np.array([0, 1, 3, 5, 7, 9, 11, 7, 8], dtype=float).reshape(-1, 1)
    exp_den2 = np.array([0, 10, 20, 20, 20, 20, 20, 100, 101], dtype=float)
    assert np.array_equal(exp_num2, num2)
    assert np.array_equal(exp_den2, den2)
    num3, den3 = ClaimsHospIndicator.backwards_pad(num0, den0, k=7,
                                                   min_visits_to_fill=100)
    exp_num3 = np.array([0, 1, 3, 6, 10, 15, 21, 7, 8], dtype=float).reshape(-1, 1)
    exp_den3 = np.array([0, 10, 20, 30, 40, 50, 60, 100, 101], dtype=float)
    assert np.array_equal(exp_num3, num3)
    assert np.array_equal(exp_den3, den3)
    num4, den4 = ClaimsHospIndicator.backwards_pad(num0, den0, k=3,
                                                   min_visits_to_fill=100)
    exp_num4 = np.array([0, 1, 3, 6, 10, 14, 18, 7, 8], dtype=float).reshape(-1, 1)
    exp_den4 = np.array([0, 10, 20, 30, 40, 40, 40, 100, 101], dtype=float)
    assert np.array_equal(exp_num4, num4)
    assert np.array_equal(exp_den4, den4)