






import warnings

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase			:					List[str]         =	logging.get_logger(__name__)

lowerCamelCase			:					List[str]         =	{
    '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json''',
}



class 							_UpperCamelCase			(a_			):

      '''simple docstring'''





      snake_case_  =							"""mvp"""
      snake_case_  =							["""past_key_values"""]
      snake_case_  =							{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}


      def __init__(	self					,						__UpperCamelCase=5_0_2_6_7					,						__UpperCamelCase=1_0_2_4					,						__UpperCamelCase=1_2					,						__UpperCamelCase=4_0_9_6					,						__UpperCamelCase=1_6					,						__UpperCamelCase=1_2					,						__UpperCamelCase=4_0_9_6					,						__UpperCamelCase=1_6					,						__UpperCamelCase=0.0					,						__UpperCamelCase=0.0					,						__UpperCamelCase="gelu"					,						__UpperCamelCase=1_0_2_4					,						__UpperCamelCase=0.1					,						__UpperCamelCase=0.0					,						__UpperCamelCase=0.0					,						__UpperCamelCase=0.0_2					,						__UpperCamelCase=0.0					,						__UpperCamelCase=False					,						__UpperCamelCase=True					,						__UpperCamelCase=1					,						__UpperCamelCase=0					,						__UpperCamelCase=2					,						__UpperCamelCase=True					,						__UpperCamelCase=2					,						__UpperCamelCase=2					,						__UpperCamelCase=False					,						__UpperCamelCase=1_0_0					,						__UpperCamelCase=8_0_0					,						**__UpperCamelCase					,						)->	int:
           __lowerCAmelCase								=					vocab_size
           __lowerCAmelCase								=					max_position_embeddings
           __lowerCAmelCase								=					d_model
           __lowerCAmelCase								=					encoder_ffn_dim
           __lowerCAmelCase								=					encoder_layers
           __lowerCAmelCase								=					encoder_attention_heads
           __lowerCAmelCase								=					decoder_ffn_dim
           __lowerCAmelCase								=					decoder_layers
           __lowerCAmelCase								=					decoder_attention_heads
           __lowerCAmelCase								=					dropout
           __lowerCAmelCase								=					attention_dropout
           __lowerCAmelCase								=					activation_dropout
           __lowerCAmelCase								=					activation_function
           __lowerCAmelCase								=					init_std
           __lowerCAmelCase								=					encoder_layerdrop
           __lowerCAmelCase								=					decoder_layerdrop
           __lowerCAmelCase								=					classifier_dropout
           __lowerCAmelCase								=					use_cache
           __lowerCAmelCase								=					encoder_layers
           __lowerCAmelCase								=					scale_embedding  # scale factor will be sqrt(d_model) if True
           __lowerCAmelCase								=					use_prompt
           __lowerCAmelCase								=					prompt_length
           __lowerCAmelCase								=					prompt_mid_dim

           super().__init__(
               pad_token_id=__UpperCamelCase					,						bos_token_id=__UpperCamelCase					,						eos_token_id=__UpperCamelCase					,						is_encoder_decoder=__UpperCamelCase					,						decoder_start_token_id=__UpperCamelCase					,						forced_eos_token_id=__UpperCamelCase					,						**__UpperCamelCase					,						)

           if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated"					,						__UpperCamelCase	):
                __lowerCAmelCase								=					self.bos_token_id
                warnings.warn(
                    F"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
                    "The config can simply be saved and uploaded again to be fixed."	)














import random



class 							_UpperCamelCase			:


      @staticmethod
      def  __UpperCAmelCase		(	__UpperCamelCase	)->	tuple[list[int], list[int]]:
           __lowerCAmelCase								=					[ord(__UpperCamelCase	) for i in text]
           __lowerCAmelCase								=					[]
           __lowerCAmelCase								=					[]
           for i in plain:
                __lowerCAmelCase								=					random.randint(1					,						3_0_0	)
                __lowerCAmelCase								=					(i + k) * k
                cipher.append(__UpperCamelCase	)
                key.append(__UpperCamelCase	)
           return cipher, key


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


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






