_SCREAMING_SNAKE_CASE     =     [chr(i) for i in range(32, 126)]
_SCREAMING_SNAKE_CASE     =     list(range(len(alphabets)))
_SCREAMING_SNAKE_CASE     =     list(range(len(alphabets)))
_SCREAMING_SNAKE_CASE     =     list(range(len(alphabets)))
_SCREAMING_SNAKE_CASE     =     list(reversed(range(len(alphabets))))
_SCREAMING_SNAKE_CASE     =     []
_SCREAMING_SNAKE_CASE     =     _SCREAMING_SNAKE_CASE     =     _SCREAMING_SNAKE_CASE     =     0
def 					__lowercase						(    )					->Optional[int]:

  '''simple docstring'''




  global gear_one_pos
  global gear_two_pos
  global gear_three_pos
  a__  		=  gear_one[0]
  gear_one.append(lowerCamelCase__       )
  del gear_one[0]
  gear_one_pos += 1
  if gear_one_pos % int(len(lowerCamelCase__       )       ) == 0:
    a__  		=  gear_two[0]
    gear_two.append(lowerCamelCase__       )
    del gear_two[0]
    gear_two_pos += 1
    if gear_two_pos % int(len(lowerCamelCase__       )       ) == 0:
      a__  		=  gear_three[0]
      gear_three.append(lowerCamelCase__       )
      del gear_three[0]
      gear_three_pos += 1
def 					__lowercase						(    lowerCamelCase__       )					->List[str]:

  '''simple docstring'''




  a__  		=  alphabets.index(lowerCamelCase__       )
  a__  		=  gear_one[target]
  a__  		=  gear_two[target]
  a__  		=  gear_three[target]
  a__  		=  reflector[target]
  a__  		=  gear_three.index(lowerCamelCase__       )
  a__  		=  gear_two.index(lowerCamelCase__       )
  a__  		=  gear_one.index(lowerCamelCase__       )
  code.append(alphabets[target]       )
  rotator()


if __name__ == "__main__":
     _SCREAMING_SNAKE_CASE     =     list(input("""Type your message:\n"""))
     while True:
          try:
               _SCREAMING_SNAKE_CASE     =     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!"""
     )







import copy

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


UpperCamelCase__						=		logging.get_logger(__name__)

UpperCamelCase__						=		{}


class 							__SCREAMING_SNAKE_CASE				(						lowerCamelCase    ):
					_lowerCamelCase						    =					"""fsmt_decoder"""

					def __init__(							self					,			__lowercase=0					,			__lowercase=0   ):







						'''simple docstring'''




						super().__init__()
						lowerCamelCase_				:						Tuple				  =				vocab_size
						lowerCamelCase_				:						Union[str, Any]				  =				bos_token_id


class 							__SCREAMING_SNAKE_CASE				(						lowerCamelCase    ):
					_lowerCamelCase						    =					"""fsmt"""
					_lowerCamelCase						    =					{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}

					def __init__(							self					,			__lowercase=["en", "de"]					,			__lowercase=42_024					,			__lowercase=42_024					,			__lowercase="relu"					,			__lowercase=1_024					,			__lowercase=200					,			__lowercase=1_024					,			__lowercase=4_096					,			__lowercase=12					,			__lowercase=16					,			__lowercase=0.0					,			__lowercase=4_096					,			__lowercase=12					,			__lowercase=16					,			__lowercase=0.0					,			__lowercase=0.0					,			__lowercase=0.1					,			__lowercase=0.0					,			__lowercase=0.02					,			__lowercase=2					,			__lowercase=True					,			__lowercase=True					,			__lowercase=False					,			__lowercase=5					,			__lowercase=1.0					,			__lowercase=False					,			__lowercase=True					,			__lowercase=1					,			__lowercase=0					,			__lowercase=2					,			__lowercase=2					,			**__lowercase					,			):







						'''simple docstring'''




						lowerCamelCase_				:						Any				  =				langs
						lowerCamelCase_				:						Union[str, Any]				  =				src_vocab_size
						lowerCamelCase_				:						Tuple				  =				tgt_vocab_size
						lowerCamelCase_				:						List[Any]				  =				d_model  # encoder_embed_dim and decoder_embed_dim

						lowerCamelCase_				:						str				  =				encoder_ffn_dim
						lowerCamelCase_				:						str				  =				encoder_layers
						lowerCamelCase_				:						Dict				  =				encoder_attention_heads
						lowerCamelCase_				:						Any				  =				encoder_layerdrop
						lowerCamelCase_				:						Union[str, Any]				  =				decoder_layerdrop
						lowerCamelCase_				:						Optional[int]				  =				decoder_ffn_dim
						lowerCamelCase_				:						List[str]				  =				decoder_layers
						lowerCamelCase_				:						int				  =				decoder_attention_heads
						lowerCamelCase_				:						List[str]				  =				max_position_embeddings
						lowerCamelCase_				:						int				  =				init_std  # Normal(0, this parameter)
						lowerCamelCase_				:						Optional[Any]				  =				activation_function

						lowerCamelCase_				:						Union[str, Any]				  =				DecoderConfig(vocab_size=__lowercase					,			bos_token_id=__lowercase   )
						if "decoder" in common_kwargs:
							del common_kwargs["decoder"]

						lowerCamelCase_				:						int				  =				scale_embedding  # scale factor will be sqrt(d_model) if True

						# 3 Types of Dropout
						lowerCamelCase_				:						Optional[int]				  =				attention_dropout
						lowerCamelCase_				:						Union[str, Any]				  =				activation_dropout
						lowerCamelCase_				:						Dict				  =				dropout

						lowerCamelCase_				:						Optional[int]				  =				use_cache
						super().__init__(
						    pad_token_id=__lowercase					,			bos_token_id=__lowercase					,			eos_token_id=__lowercase					,			decoder_start_token_id=__lowercase					,			is_encoder_decoder=__lowercase					,			tie_word_embeddings=__lowercase					,			forced_eos_token_id=__lowercase					,			max_length=__lowercase					,			num_beams=__lowercase					,			length_penalty=__lowercase					,			early_stopping=__lowercase					,			**__lowercase					,			)





					def       lowercase_				(							self   ):







						'''simple docstring'''




						lowerCamelCase_				:						List[Any]				  =				copy.deepcopy(self.__dict__   )
						lowerCamelCase_				:						Optional[int]				  =				self.decoder.to_dict()
						lowerCamelCase_				:						Dict				  =				self.__class__.model_type
						return output
