






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


lowerCamelCase			:					Optional[int]         =	logging.get_logger(__name__)

lowerCamelCase			:					str         =	{}



class 							_UpperCamelCase			(__lowercase			):

      '''simple docstring'''





      snake_case_  =							'''llama'''
      snake_case_  =							['''past_key_values''']


      def __init__(	self					,						__UpperCamelCase=3_2_0_0_0					,						__UpperCamelCase=4_0_9_6					,						__UpperCamelCase=1_1_0_0_8					,						__UpperCamelCase=3_2					,						__UpperCamelCase=3_2					,						__UpperCamelCase=None					,						__UpperCamelCase="silu"					,						__UpperCamelCase=2_0_4_8					,						__UpperCamelCase=0.0_2					,						__UpperCamelCase=1e-6					,						__UpperCamelCase=True					,						__UpperCamelCase=0					,						__UpperCamelCase=1					,						__UpperCamelCase=2					,						__UpperCamelCase=1					,						__UpperCamelCase=False					,						__UpperCamelCase=None					,						**__UpperCamelCase					,						)->	List[str]:
           __lowerCAmelCase								=					vocab_size
           __lowerCAmelCase								=					max_position_embeddings
           __lowerCAmelCase								=					hidden_size
           __lowerCAmelCase								=					intermediate_size
           __lowerCAmelCase								=					num_hidden_layers
           __lowerCAmelCase								=					num_attention_heads

           # for backward compatibility
           if num_key_value_heads is None:
                __lowerCAmelCase								=					num_attention_heads

           __lowerCAmelCase								=					num_key_value_heads
           __lowerCAmelCase								=					hidden_act
           __lowerCAmelCase								=					initializer_range
           __lowerCAmelCase								=					rms_norm_eps
           __lowerCAmelCase								=					pretraining_tp
           __lowerCAmelCase								=					use_cache
           __lowerCAmelCase								=					rope_scaling
           self._rope_scaling_validation()

           super().__init__(
               pad_token_id=__a					,						bos_token_id=__a					,						eos_token_id=__a					,						tie_word_embeddings=__a					,						**__a					,						)


      def  __UpperCAmelCase		(	self	)->	List[Any]:
           if self.rope_scaling is None:
                return

           if not isinstance(self.rope_scaling					,						__a	) or len(self.rope_scaling	) != 2:
                raise ValueError(
                    "`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, "
                    F"""got {self.rope_scaling}"""	)
           __lowerCAmelCase								=					self.rope_scaling.get("type"					,						__a	)
           __lowerCAmelCase								=					self.rope_scaling.get("factor"					,						__a	)
           if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
                raise ValueError(
                    F"""`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}"""	)
           if rope_scaling_factor is None or not isinstance(__a					,						__a	) or rope_scaling_factor <= 1.0:
                raise ValueError(F"""`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}"""	)














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))






