






'''simple docstring'''




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


__UpperCAmelCase  							=logging.get_logger(__name__)

__UpperCAmelCase  							={
    "uw-madison/yoso-4096": "https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}




class 					a__   (     UpperCAmelCase__				):
     lowerCamelCase						:  Dict							="yoso"






     def __init__(				self	:	int						,       a	:	Optional[int]=5_02_65						,       a	:	str=7_68						,       a	:	Optional[Any]=12						,       a	:	Optional[Any]=12						,       a	:	Tuple=30_72						,       a	:	List[Any]="gelu"						,       a	:	Optional[Any]=0.1						,       a	:	str=0.1						,       a	:	Optional[Any]=40_96						,       a	:	Optional[Any]=1						,       a	:	Dict=0.02						,       a	:	str=1e-1_2						,       a	:	Any="absolute"						,       a	:	Union[str, Any]=True						,       a	:	str=9						,       a	:	int=64						,       a	:	Optional[Any]=None						,       a	:	Union[str, Any]=True						,       a	:	Tuple=True						,       a	:	Tuple=1						,       a	:	Optional[Any]=0						,       a	:	str=2						,       **a	:	List[str]						,       ):





         """simple docstring"""



         super().__init__(pad_token_id=a						,       bos_token_id=a						,       eos_token_id=a						,       **a					)

         __lowerCamelCase						=						vocab_size
         __lowerCamelCase						=						max_position_embeddings
         __lowerCamelCase						=						hidden_size
         __lowerCamelCase						=						num_hidden_layers
         __lowerCamelCase						=						num_attention_heads
         __lowerCamelCase						=						intermediate_size
         __lowerCamelCase						=						hidden_act
         __lowerCamelCase						=						hidden_dropout_prob
         __lowerCamelCase						=						attention_probs_dropout_prob
         __lowerCamelCase						=						initializer_range
         __lowerCamelCase						=						type_vocab_size
         __lowerCamelCase						=						layer_norm_eps
         __lowerCamelCase						=						position_embedding_type
         __lowerCamelCase						=						use_expectation
         __lowerCamelCase						=						hash_code_len
         __lowerCamelCase						=						num_hash
         __lowerCamelCase						=						conv_window
         __lowerCamelCase						=						use_fast_hash
         __lowerCamelCase						=						lsh_backward

'''simple docstring'''




__UpperCAmelCase  							=[chr(i) for i in range(3_2, 1_2_6)]
__UpperCAmelCase  							=list(range(len(alphabets)))
__UpperCAmelCase  							=list(range(len(alphabets)))
__UpperCAmelCase  							=list(range(len(alphabets)))
__UpperCAmelCase  							=list(reversed(range(len(alphabets))))
__UpperCAmelCase  							=[]
__UpperCAmelCase  							=__UpperCAmelCase  							=__UpperCAmelCase  							=0






def __lowerCAmelCase				(							)			->					List[Any]:
    global gear_one_pos
    global gear_two_pos
    global gear_three_pos
    __lowerCamelCase						=						gear_one[0]
    gear_one.append(UpperCamelCase__       )
    del gear_one[0]
    gear_one_pos += 1
    if gear_one_pos % int(len(UpperCamelCase__       )       ) == 0:
        __lowerCamelCase						=						gear_two[0]
        gear_two.append(UpperCamelCase__       )
        del gear_two[0]
        gear_two_pos += 1
        if gear_two_pos % int(len(UpperCamelCase__       )       ) == 0:
            __lowerCamelCase						=						gear_three[0]
            gear_three.append(UpperCamelCase__       )
            del gear_three[0]
            gear_three_pos += 1






def __lowerCAmelCase				(							UpperCamelCase__       )			->					Optional[Any]:
    __lowerCamelCase						=						alphabets.index(UpperCamelCase__       )
    __lowerCamelCase						=						gear_one[target]
    __lowerCamelCase						=						gear_two[target]
    __lowerCamelCase						=						gear_three[target]
    __lowerCamelCase						=						reflector[target]
    __lowerCamelCase						=						gear_three.index(UpperCamelCase__       )
    __lowerCamelCase						=						gear_two.index(UpperCamelCase__       )
    __lowerCamelCase						=						gear_one.index(UpperCamelCase__       )
    code.append(alphabets[target]       )
    rotator()


if __name__ == "__main__":
  __UpperCAmelCase  							=list(input("Type your message:\n"))
  while True:
    try:
      __UpperCAmelCase  							=int(input("Please set token:(must be only digits)\n"))
      break
    except Exception as error:
      print(error)
  for _ in range(token):
    rotator()
  for j in decode:
    engine(j)
  print("\n" + "".join(code))
  print(
      f'\nYour Token is {token} please write it down.\nIf you want to decode '
      "this message again you should input same digits as token!"
  )
