


from __future__ import annotations

__UpperCamelCase       :       int						       =				tuple[int, int, int]
__UpperCamelCase       :       Union[str, Any]						       =				tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
__UpperCamelCase       :       List[str]						       =				"ABCDEFGHIJKLMNOPQRSTUVWXYZ"

# -------------------------- default selection --------------------------
# rotors --------------------------
__UpperCamelCase       :       Optional[Any]						       =				"EGZWVONAHDCLFQMSIPJBYUKXTR"
__UpperCamelCase       :       int						       =				"FOBHMDKEXQNRAULPGSJVTYICZW"
__UpperCamelCase       :       List[str]						       =				"ZJXESIUQLHAVRMDOYGTNFWPBKC"
# reflector --------------------------
__UpperCamelCase       :       str						       =				{
    "A": "N",
    "N": "A",
    "B": "O",
    "O": "B",
    "C": "P",
    "P": "C",
    "D": "Q",
    "Q": "D",
    "E": "R",
    "R": "E",
    "F": "S",
    "S": "F",
    "G": "T",
    "T": "G",
    "H": "U",
    "U": "H",
    "I": "V",
    "V": "I",
    "J": "W",
    "W": "J",
    "K": "X",
    "X": "K",
    "L": "Y",
    "Y": "L",
    "M": "Z",
    "Z": "M",
}

# -------------------------- extra rotors --------------------------
__UpperCamelCase       :       List[Any]						       =				"RMDJXFUWGISLHVTCQNKYPBEZOA"
__UpperCamelCase       :       Tuple						       =				"SGLCPQWZHKXAREONTFBVIYJUDM"
__UpperCamelCase       :       List[Any]						       =				"HVSICLTYKQUBXDWAJZOMFGPREN"
__UpperCamelCase       :       List[Any]						       =				"RZWQHFMVDBKICJLNTUXAGYPSOE"
__UpperCamelCase       :       str						       =				"LFKIJODBEGAMQPXVUHYSTCZRWN"
__UpperCamelCase       :       List[str]						       =				"KOAEGVDHXPQZMLFTYWJNBRCIUS"

def 			_a  (				SCREAMING_SNAKE_CASE	:				RotorPositionT    , SCREAMING_SNAKE_CASE	:				RotorSelectionT    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 if (unique_rotsel := len(set(SCREAMING_SNAKE_CASE     )     )) < 3:
  UpperCamelCase__					:    Tuple          =   F"Please use 3 unique rotors (not {unique_rotsel})"
  raise Exception(SCREAMING_SNAKE_CASE     )

 # Checks if rotor positions are valid
 UpperCamelCase__       ,				UpperCamelCase__       ,				UpperCamelCase__					:    Union[str, Any]          =   rotpos
 if not 0 < rotorposa <= len(SCREAMING_SNAKE_CASE     ):
  UpperCamelCase__					:    Tuple          =   F"First rotor position is not within range of 1..26 ({rotorposa}"
  raise ValueError(SCREAMING_SNAKE_CASE     )
 if not 0 < rotorposa <= len(SCREAMING_SNAKE_CASE     ):
  UpperCamelCase__					:    str          =   F"Second rotor position is not within range of 1..26 ({rotorposa})"
  raise ValueError(SCREAMING_SNAKE_CASE     )
 if not 0 < rotorposa <= len(SCREAMING_SNAKE_CASE     ):
  UpperCamelCase__					:    Tuple          =   F"Third rotor position is not within range of 1..26 ({rotorposa})"
  raise ValueError(SCREAMING_SNAKE_CASE     )

 # Validates string and returns dict
 UpperCamelCase__					:    Any          =   _plugboard(SCREAMING_SNAKE_CASE     )

 return rotpos, rotsel, pbdict

def 			_a  (				SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 if not isinstance(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     ):
  UpperCamelCase__					:    Optional[Any]          =   F"Plugboard setting isn't type string ({type(SCREAMING_SNAKE_CASE     )})"
  raise TypeError(SCREAMING_SNAKE_CASE     )
 elif len(SCREAMING_SNAKE_CASE     ) % 2 != 0:
  UpperCamelCase__					:    Union[str, Any]          =   F"Odd number of symbols ({len(SCREAMING_SNAKE_CASE     )})"
  raise Exception(SCREAMING_SNAKE_CASE     )
 elif pbstring == "":
  return {}

 pbstring.replace(''' '''    , ''''''     )

 # Checks if all characters are unique
 UpperCamelCase__					:    Tuple          =   set()
 for i in pbstring:
  if i not in abc:
   UpperCamelCase__					:    Optional[int]          =   F"'{i}' not in list of symbols"
   raise Exception(SCREAMING_SNAKE_CASE     )
  elif i in tmppbl:
   UpperCamelCase__					:    int          =   F"Duplicate symbol ({i})"
   raise Exception(SCREAMING_SNAKE_CASE     )
  else:
   tmppbl.add(SCREAMING_SNAKE_CASE     )
 del tmppbl

 # Created the dictionary
 UpperCamelCase__					:    List[Any]          =   {}
 for j in range(0    , len(SCREAMING_SNAKE_CASE     ) - 1    , 2     ):
  UpperCamelCase__					:    str          =   pbstring[j + 1]
  UpperCamelCase__					:    str          =   pbstring[j]

 return pb

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				RotorPositionT    , SCREAMING_SNAKE_CASE	:				RotorSelectionT = (rotora, rotora, rotora)    , SCREAMING_SNAKE_CASE	:				str = ""    , ):







 """simple docstring"""



 UpperCamelCase__					:    List[Any]          =   text.upper()
 UpperCamelCase__       ,				UpperCamelCase__       ,				UpperCamelCase__					:    Any          =   _validator(
     SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE    , plugb.upper()     )

 UpperCamelCase__       ,				UpperCamelCase__       ,				UpperCamelCase__					:    Optional[Any]          =   rotor_position
 UpperCamelCase__       ,				UpperCamelCase__       ,				UpperCamelCase__					:    str          =   rotor_selection
 rotorposa -= 1
 rotorposa -= 1
 rotorposa -= 1

 UpperCamelCase__					:    int          =   []

 # encryption/decryption process --------------------------
 for symbol in text:
  if symbol in abc:
   # 1st plugboard --------------------------
   if symbol in plugboard:
    UpperCamelCase__					:    List[str]          =   plugboard[symbol]

   # rotor ra --------------------------
   UpperCamelCase__					:    Optional[Any]          =   abc.index(SCREAMING_SNAKE_CASE     ) + rotorposa
   UpperCamelCase__					:    int          =   rotora[index % len(SCREAMING_SNAKE_CASE     )]

   # rotor rb --------------------------
   UpperCamelCase__					:    List[str]          =   abc.index(SCREAMING_SNAKE_CASE     ) + rotorposa
   UpperCamelCase__					:    List[Any]          =   rotora[index % len(SCREAMING_SNAKE_CASE     )]

   # rotor rc --------------------------
   UpperCamelCase__					:    List[Any]          =   abc.index(SCREAMING_SNAKE_CASE     ) + rotorposa
   UpperCamelCase__					:    Tuple          =   rotora[index % len(SCREAMING_SNAKE_CASE     )]

   # reflector --------------------------
   # this is the reason you don't need another machine to decipher

   UpperCamelCase__					:    List[str]          =   reflector[symbol]

   # 2nd rotors
   UpperCamelCase__					:    int          =   abc[rotora.index(SCREAMING_SNAKE_CASE     ) - rotorposa]
   UpperCamelCase__					:    str          =   abc[rotora.index(SCREAMING_SNAKE_CASE     ) - rotorposa]
   UpperCamelCase__					:    int          =   abc[rotora.index(SCREAMING_SNAKE_CASE     ) - rotorposa]

   # 2nd plugboard
   if symbol in plugboard:
    UpperCamelCase__					:    Tuple          =   plugboard[symbol]

   # moves/resets rotor positions
   rotorposa += 1
   if rotorposa >= len(SCREAMING_SNAKE_CASE     ):
    UpperCamelCase__					:    str          =   0
    rotorposa += 1
   if rotorposa >= len(SCREAMING_SNAKE_CASE     ):
    UpperCamelCase__					:    int          =   0
    rotorposa += 1
   if rotorposa >= len(SCREAMING_SNAKE_CASE     ):
    UpperCamelCase__					:    Union[str, Any]          =   0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
  result.append(SCREAMING_SNAKE_CASE     )

 return "".join(SCREAMING_SNAKE_CASE     )


if __name__ == "__main__":
       __UpperCamelCase       :       Dict						       =				"This is my Python script that emulates the Enigma machine from WWII."
       __UpperCamelCase       :       Dict						       =				(1, 1, 1)
       __UpperCamelCase       :       Any						       =				"pictures"
       __UpperCamelCase       :       int						       =				(rotora, rotora, rotora)
       __UpperCamelCase       :       Dict						       =				enigma(message, rotor_pos, rotor_sel, pb)

       print("Encrypted message:", en)
       print("Decrypted message:", enigma(en, rotor_pos, rotor_sel, pb))






import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__UpperCamelCase       :       Tuple						       =				logging.get_logger(__name__)

__UpperCamelCase       :       Union[str, Any]						       =				{"vocab_file": "sentencepiece.bpe.model"}

__UpperCamelCase       :       List[Any]						       =				{
    "vocab_file": {
        "moussaKam/mbarthez": "https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez": "https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez-orangesum-title": (
            "https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"
        ),
    },
}

__UpperCamelCase       :       int						       =				{
    "moussaKam/mbarthez": 1024,
    "moussaKam/barthez": 1024,
    "moussaKam/barthez-orangesum-title": 1024,
}

__UpperCamelCase       :       int						       =				"▁"

class       __magic_name__	(     __lowerCAmelCase):
     A:		Tuple			=      VOCAB_FILES_NAMES
     A:		Optional[int]			=      PRETRAINED_VOCAB_FILES_MAP
     A:		str			=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A:		Union[str, Any]			=      ["input_ids", "attention_mask"]


     def __init__(      self							:     Union[str, Any]							,	lowerCamelCase__							:     Optional[int]							,	lowerCamelCase__							:     Tuple="<s>"							,	lowerCamelCase__							:     Tuple="</s>"							,	lowerCamelCase__							:     int="</s>"							,	lowerCamelCase__							:     Optional[Any]="<s>"							,	lowerCamelCase__							:     List[str]="<unk>"							,	lowerCamelCase__							:     str="<pad>"							,	lowerCamelCase__							:     int="<mask>"							,	lowerCamelCase__							:     Optional[Dict[str, Any]] = None							,	**lowerCamelCase__							:     Any							,	)  ->      None:





      '''simple docstring'''






      UpperCamelCase__					:    str          =   AddedToken(lowerCamelCase__							,	lstrip=lowerCamelCase__							,	rstrip=lowerCamelCase__			) if isinstance(lowerCamelCase__							,	lowerCamelCase__			) else mask_token

      UpperCamelCase__					:    Optional[int]          =   {} if sp_model_kwargs is None else sp_model_kwargs

      super().__init__(
          bos_token=lowerCamelCase__							,	eos_token=lowerCamelCase__							,	unk_token=lowerCamelCase__							,	sep_token=lowerCamelCase__							,	cls_token=lowerCamelCase__							,	pad_token=lowerCamelCase__							,	mask_token=lowerCamelCase__							,	sp_model_kwargs=self.sp_model_kwargs							,	**lowerCamelCase__							,	)

      UpperCamelCase__					:    Any          =   vocab_file
      UpperCamelCase__					:    str          =   spm.SentencePieceProcessor(**self.sp_model_kwargs			)
      self.sp_model.Load(str(lowerCamelCase__			)			)

      UpperCamelCase__					:    Any          =   {'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

      UpperCamelCase__					:    Tuple          =   len(self.sp_model			) - 1
      UpperCamelCase__					:    str          =   {v: k for k, v in self.fairseq_tokens_to_ids.items()}


     def      UpperCAmelCase__	(      self							:     List[str]							,	lowerCamelCase__							:     List[int]							,	lowerCamelCase__							:     Optional[List[int]] = None			)  ->      List[int]:





      '''simple docstring'''






      if token_ids_a is None:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      UpperCamelCase__					:    List[str]          =   [self.cls_token_id]
      UpperCamelCase__					:    Optional[Any]          =   [self.sep_token_id]
      return cls + token_ids_a + sep + sep + token_ids_a + sep


     def      UpperCAmelCase__	(      self							:     Dict							,	lowerCamelCase__							:     List[int]							,	lowerCamelCase__							:     Optional[List[int]] = None							,	lowerCamelCase__							:     bool = False			)  ->      List[int]:





      '''simple docstring'''






      if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=lowerCamelCase__							,	token_ids_a=lowerCamelCase__							,	already_has_special_tokens=lowerCamelCase__			)

      if token_ids_a is None:
       return [1] + ([0] * len(lowerCamelCase__			)) + [1]
      return [1] + ([0] * len(lowerCamelCase__			)) + [1, 1] + ([0] * len(lowerCamelCase__			)) + [1]


     def      UpperCAmelCase__	(      self							:     List[str]							,	lowerCamelCase__							:     List[int]							,	lowerCamelCase__							:     Optional[List[int]] = None			)  ->      List[int]:





      '''simple docstring'''






      UpperCamelCase__					:    int          =   [self.sep_token_id]
      UpperCamelCase__					:    List[str]          =   [self.cls_token_id]

      if token_ids_a is None:
       return len(cls + token_ids_a + sep			) * [0]
      return len(cls + token_ids_a + sep + sep + token_ids_a + sep			) * [0]


     @property
     def      UpperCAmelCase__	(      self							:     Union[str, Any]			)  ->      int:





      '''simple docstring'''






      return len(self.sp_model			)


     def      UpperCAmelCase__	(      self							:     List[str]			)  ->      Optional[int]:





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   {self.convert_ids_to_tokens(lowerCamelCase__			): i for i in range(self.vocab_size			)}
      vocab.update(self.added_tokens_encoder			)
      return vocab


     def      UpperCAmelCase__	(      self							:     int							,	lowerCamelCase__							:     str			)  ->      List[str]:





      '''simple docstring'''






      return self.sp_model.encode(lowerCamelCase__							,	out_type=lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     Union[str, Any]							,	lowerCamelCase__							:     List[str]			)  ->      Union[str, Any]:





      '''simple docstring'''






      if token in self.fairseq_tokens_to_ids:
       return self.fairseq_tokens_to_ids[token]
      UpperCamelCase__					:    List[str]          =   self.sp_model.PieceToId(lowerCamelCase__			)

      return spm_id if spm_id else self.unk_token_id


     def      UpperCAmelCase__	(      self							:     Dict							,	lowerCamelCase__							:     int			)  ->      List[str]:





      '''simple docstring'''






      if index in self.fairseq_ids_to_tokens:
       return self.fairseq_ids_to_tokens[index]
      return self.sp_model.IdToPiece(lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     str							,	lowerCamelCase__							:     Tuple			)  ->      List[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Union[str, Any]          =   []
      UpperCamelCase__					:    Any          =   ''''''
      UpperCamelCase__					:    str          =   False
      for token in tokens:
       # make sure that special tokens are not decoded using sentencepiece model
       if token in self.all_special_tokens:
        if not prev_is_special:
         out_string += " "
        out_string += self.sp_model.decode(lowerCamelCase__			) + token
        UpperCamelCase__					:    str          =   True
        UpperCamelCase__					:    Tuple          =   []
       else:
        current_sub_tokens.append(lowerCamelCase__			)
        UpperCamelCase__					:    Any          =   False
      out_string += self.sp_model.decode(lowerCamelCase__			)
      return out_string.strip()


     def __getstate__(      self							:     Tuple			)  ->      Dict:





      '''simple docstring'''






      UpperCamelCase__					:    str          =   self.__dict__.copy()
      UpperCamelCase__					:    int          =   None
      return state


     def __setstate__(      self							:     Tuple							,	lowerCamelCase__							:     Any			)  ->      str:





      '''simple docstring'''






      UpperCamelCase__					:    List[Any]          =   d

      # for backward compatibility
      if not hasattr(self							,	'''sp_model_kwargs'''			):
       UpperCamelCase__					:    Optional[Any]          =   {}

      UpperCamelCase__					:    Optional[int]          =   spm.SentencePieceProcessor(**self.sp_model_kwargs			)
      self.sp_model.Load(self.vocab_file			)


     def      UpperCAmelCase__	(      self							:     Optional[int]							,	lowerCamelCase__							:     str							,	lowerCamelCase__							:     Optional[str] = None			)  ->      Tuple[str]:





      '''simple docstring'''






      if not os.path.isdir(lowerCamelCase__			):
       logger.error(F"Vocabulary path ({save_directory}) should be a directory"			)
       return
      UpperCamelCase__					:    Any          =   os.path.join(
          lowerCamelCase__							,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)

      if os.path.abspath(self.vocab_file			) != os.path.abspath(lowerCamelCase__			) and os.path.isfile(self.vocab_file			):
       copyfile(self.vocab_file							,	lowerCamelCase__			)
      elif not os.path.isfile(self.vocab_file			):
       with open(lowerCamelCase__							,	'''wb'''			) as fi:
        UpperCamelCase__					:    int          =   self.sp_model.serialized_model_proto()
        fi.write(lowerCamelCase__			)

      return (out_vocab_file,)


