def METHOD_NAME(self):
    boxcox = BoxCox(lmbda=0.3)
    boxcox.fit(self.multi_series)
    assert boxcox._fitted_params == [[0.3, 0.3]]
    boxcox = BoxCox(lmbda=[0.3, 0.4])
    boxcox.fit(self.multi_series)
    assert boxcox._fitted_params == [[0.3, 0.4]]
    with pytest.raises(ValueError):
        boxcox = BoxCox(lmbda=[0.2, 0.4, 0.5])
        boxcox.fit(self.multi_series)
    boxcox = BoxCox(optim_method="mle")
    boxcox.fit(self.multi_series)
    lmbda1 = boxcox._fitted_params[0].tolist()
    boxcox = BoxCox(optim_method="pearsonr")
    boxcox.fit(self.multi_series)
    lmbda2 = boxcox._fitted_params[0].tolist()
    assert lmbda1 != lmbda2