from typing import *


class GuidanceIntervalSamplerMixin:
    """
    A mixin class for samplers that apply classifier-free guidance with interval.
    """

    def _inference_model(self, model, x_t, t, cond, guidance_strength, guidance_interval, **kwargs):
        if guidance_interval[0] <= t <= guidance_interval[1]:
            return super()._inference_model(model, x_t, t, cond, guidance_strength=guidance_strength, **kwargs)
        else:
            return super()._inference_model(model, x_t, t, cond, guidance_strength=1, **kwargs)