def METHOD_NAME(self) -> None:
    if self.augmentation and self.ratio <= 0:
        raise ValueError("The augmentation ratio must be positive.")
    if self.clip_values is not None:
        if len(self.clip_values) != 2:
            raise ValueError(
                "`clip_values` should be a tuple of 2 floats or arrays containing the allowed data range."
            )
        if np.array(self.clip_values[0] >= self.clip_values[1]).any():
            raise ValueError("Invalid `clip_values`: min >= max.")