"""simple docstring"""





import random


class      UpperCAmelCase_	:


      @staticmethod
      def 		_UpperCAmelCase       (   a							)       ->					tuple[list[int], list[int]]:
             lowercase__			:		Union[str, Any]       =	[ord(a							) for i in text]
             lowercase__			:		int       =	[]
             lowercase__			:		List[str]       =	[]
             for i in plain:
                    lowercase__			:		Optional[Any]       =	random.randint(1		,			3_0_0							)
                    lowercase__			:		Optional[Any]       =	(i + k) * k
                    cipher.append(a							)
                    key.append(a							)
             return cipher, key


      @staticmethod
      def 		_UpperCAmelCase       (   a		,			a							)       ->					str:
             lowercase__			:		str       =	[]
             for i in range(len(a							)							):
                    lowercase__			:		Dict       =	int((cipher[i] - (key[i]) ** 2) / key[i]							)
                    plain.append(chr(a							)							)
             return "".join(a							)


if __name__ == "__main__":
       _UpperCamelCase   :						Optional[Any]      =    Onepad().encrypt("Hello")
       print(c, k)
       print(Onepad().decrypt(c, k))








from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
    from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline


