





"""simple docstring"""


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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase__				  =   logging.get_logger(__name__)

lowerCamelCase__				  =   {'vocab_file': 'sentencepiece.model'}

lowerCamelCase__				  =   {
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
}

lowerCamelCase__				  =   {
    'google/rembert': 256,
}



class      __SCREAMING_SNAKE_CASE    (						lowerCAmelCase__   ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:List[Any]	     =					VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__							:Any	     =					PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__							:Union[str, Any]	     =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

  def __init__(		self   :       Tuple					,   __a   :       List[Any]					,   __a   :       Optional[int]=False					,   __a   :       Dict=True					,   __a   :       Union[str, Any]=True					,   __a   :       Tuple="[CLS]"					,   __a   :       Optional[int]="[SEP]"					,   __a   :       Union[str, Any]="[UNK]"					,   __a   :       List[str]="[SEP]"					,   __a   :       Any="[PAD]"					,   __a   :       Any="[CLS]"					,   __a   :       Optional[int]="[MASK]"					,   **__a   :       Any					,   )		->				str:
        super().__init__(
            do_lower_case=_SCREAMING_SNAKE_CASE					,   remove_space=_SCREAMING_SNAKE_CASE					,   keep_accents=_SCREAMING_SNAKE_CASE					,   bos_token=_SCREAMING_SNAKE_CASE					,   eos_token=_SCREAMING_SNAKE_CASE					,   unk_token=_SCREAMING_SNAKE_CASE					,   sep_token=_SCREAMING_SNAKE_CASE					,   pad_token=_SCREAMING_SNAKE_CASE					,   cls_token=_SCREAMING_SNAKE_CASE					,   mask_token=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE					,   )

        _UpperCamelCase      :	List[str]						=       do_lower_case
        _UpperCamelCase      :	List[Any]						=       remove_space
        _UpperCamelCase      :	Tuple						=       keep_accents
        _UpperCamelCase      :	str						=       vocab_file

        _UpperCamelCase      :	int						=       spm.SentencePieceProcessor()
        self.sp_model.Load(_SCREAMING_SNAKE_CASE	)

  @property
  def    __SCREAMING_SNAKE_CASE				(		self   :       List[str]	)		->				Dict:
        return len(self.sp_model	)

  def    __SCREAMING_SNAKE_CASE				(		self   :       List[str]	)		->				Optional[int]:
        _UpperCamelCase      :	Optional[Any]						=       {self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE	): i for i in range(self.vocab_size	)}
        vocab.update(self.added_tokens_encoder	)
        return vocab

  def __getstate__(		self   :       Any	)		->				Optional[Any]:
        _UpperCamelCase      :	Dict						=       self.__dict__.copy()
        _UpperCamelCase      :	List[Any]						=       None
        return state

  def __setstate__(		self   :       Any					,   __a   :       Union[str, Any]	)		->				Optional[Any]:
        _UpperCamelCase      :	List[Any]						=       d
        _UpperCamelCase      :	int						=       spm.SentencePieceProcessor()
        self.sp_model.Load(self.vocab_file	)

  def    __SCREAMING_SNAKE_CASE				(		self   :       Tuple					,   __a   :       Optional[int]					,   __a   :       Union[str, Any]=False	)		->				Union[str, Any]:
        _UpperCamelCase      :	int						=       self.sp_model.EncodeAsPieces(_SCREAMING_SNAKE_CASE	)
        return pieces

  def    __SCREAMING_SNAKE_CASE				(		self   :       Any					,   __a   :       Optional[Any]	)		->				Optional[int]:
        return self.sp_model.PieceToId(_SCREAMING_SNAKE_CASE	)

  def    __SCREAMING_SNAKE_CASE				(		self   :       Tuple					,   __a   :       Any	)		->				Union[str, Any]:
        return self.sp_model.IdToPiece(_SCREAMING_SNAKE_CASE	)

  def    __SCREAMING_SNAKE_CASE				(		self   :       Dict					,   __a   :       Optional[Any]	)		->				List[str]:
        _UpperCamelCase      :	Union[str, Any]						=       self.sp_model.decode_pieces(_SCREAMING_SNAKE_CASE	)
        return out_string

  def    __SCREAMING_SNAKE_CASE				(		self   :       List[Any]					,   __a   :       Any					,   __a   :       List[Any] = None	)		->				List[int]:
        _UpperCamelCase      :	Dict						=       [self.sep_token_id]
        _UpperCamelCase      :	Optional[int]						=       [self.cls_token_id]
        if token_ids_a is None:
              return cls + token_ids_a + sep
        return cls + token_ids_a + sep + token_ids_a + sep

  def    __SCREAMING_SNAKE_CASE				(		self   :       Optional[int]					,   __a   :       Tuple					,   __a   :       Union[str, Any] = None					,   __a   :       List[Any] = False	)		->				List[int]:

        if already_has_special_tokens:
              if token_ids_a is not None:
                    raise ValueError(
                        "You should not supply a second sequence if the provided sequence of "
                        "ids is already formatted with special tokens for the model."	)
              return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

        if token_ids_a is not None:
              return [1] + ([0] * len(_SCREAMING_SNAKE_CASE	)) + [1] + ([0] * len(_SCREAMING_SNAKE_CASE	)) + [1]
        return [1] + ([0] * len(_SCREAMING_SNAKE_CASE	)) + [1]

  def    __SCREAMING_SNAKE_CASE				(		self   :       Dict					,   __a   :       int					,   __a   :       Union[str, Any] = None	)		->				List[int]:
        _UpperCamelCase      :	Tuple						=       [self.sep_token_id]
        _UpperCamelCase      :	Any						=       [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	) * [0] + len(token_ids_a + sep	) * [1]


  def    __SCREAMING_SNAKE_CASE				(		self   :       Tuple					,   __a   :       Tuple					,   __a   :       Optional[Any] = None	)		->				Tuple[str]:
        if not os.path.isdir(_SCREAMING_SNAKE_CASE	):
              logger.error("Vocabulary path ({}) should be a directory".format(_SCREAMING_SNAKE_CASE	)	)
              return
        _UpperCamelCase      :	Optional[int]						=       os.path.join(
            _SCREAMING_SNAKE_CASE					,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)

        if os.path.abspath(self.vocab_file	) != os.path.abspath(_SCREAMING_SNAKE_CASE	):
              copyfile(self.vocab_file					,   _SCREAMING_SNAKE_CASE	)

        return (out_vocab_file,)







"""simple docstring"""


from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

lowerCamelCase__				  =   (
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
lowerCamelCase__				  =   [ord(letter) for letter in string.ascii_lowercase]
lowerCamelCase__				  =   {ord(char) for char in VALID_CHARS}

lowerCamelCase__				  =   ["the", "be", "to", "of", "and", "in", "that", "have"]




def 					lowercase__    (					lowercase_		,lowercase_			)					->		str | None:




      """simple docstring"""

      _UpperCamelCase      :	str						=       ""
      _UpperCamelCase      :	int
      _UpperCamelCase      :	int
      _UpperCamelCase      :	int

      for keychar, cipherchar in zip(cycle(lowercase_			)		,lowercase_			):
            _UpperCamelCase      :	Dict						=       cipherchar ^ keychar
            if decodedchar not in VALID_INTS:
                  return None
            decoded += chr(lowercase_			)

      return decoded




def 					lowercase__    (					lowercase_			)					->		list[str]:




      """simple docstring"""

      _UpperCamelCase      :	list[str]						=       []
      for key in product(lowercase_		,repeat=3			):
            _UpperCamelCase      :	int						=       try_key(lowercase_		,lowercase_			)
            if encoded is not None:
                  possibles.append(lowercase_			)
      return possibles




def 					lowercase__    (					lowercase_		,lowercase_			)					->		list[str]:




      """simple docstring"""

      return [possible for possible in possibles if common_word in possible.lower()]




def 					lowercase__    (					lowercase_ = "p059_cipher.txt"			)					->		int:




      """simple docstring"""

      _UpperCamelCase      :	list[int]
      _UpperCamelCase      :	list[str]
      _UpperCamelCase      :	str
      _UpperCamelCase      :	str
      _UpperCamelCase      :	str						=       Path(lowercase_			).parent.joinpath(lowercase_			).read_text(encoding="utf-8"			)

      _UpperCamelCase      :	Optional[Any]						=       [int(lowercase_			) for number in data.strip().split(","			)]

      _UpperCamelCase      :	List[str]						=       filter_valid_chars(lowercase_			)
      for common_word in COMMON_WORDS:
            _UpperCamelCase      :	Union[str, Any]						=       filter_common_word(lowercase_		,lowercase_			)
            if len(lowercase_			) == 1:
                  break

      _UpperCamelCase      :	Union[str, Any]						=       possibles[0]
      return sum(ord(lowercase_			) for char in decoded_text			)


if __name__ == "__main__":
  print(f"""{solution() = }""")
