def METHOD_NAME(self, n=None):
    if n is None:
        return sampling.append_zero(self.sigmas.flip(0))
    t_max = len(self.sigmas) - 1
    t = torch.linspace(t_max, 0, n, device=self.sigmas.device)
    return sampling.append_zero(self.t_to_sigma(t))