



'''simple docstring'''



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

import sentencepiece as spm

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


lowerCamelCase	 =       logging.get_logger(__name__)


lowerCamelCase	 =       """▁"""

lowerCamelCase	 =       {"""vocab_file""": """spiece.model"""}

lowerCamelCase	 =       {
    """vocab_file""": {
        """google/reformer-crime-and-punishment""": (
            """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"""
        )
    }
}

lowerCamelCase	 =       {
    """google/reformer-crime-and-punishment""": 52_4288,
}





class _UpperCamelCase		(     A		):





    '''simple docstring'''





    lowerCAmelCase__					    =    VOCAB_FILES_NAMES
    lowerCAmelCase__					    =    PRETRAINED_VOCAB_FILES_MAP
    lowerCAmelCase__					    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCAmelCase__					    =    ["""input_ids""", """attention_mask"""]

    def __init__(							self  :  Optional[int]  ,       _lowerCAmelCase  :  Optional[int]  ,       _lowerCAmelCase  :  Tuple="</s>"  ,       _lowerCAmelCase  :  Dict="<unk>"  ,       _lowerCAmelCase  :  Optional[int]=[]  ,       _lowerCAmelCase  :  Optional[Dict[str, Any]] = None  ,       **_lowerCAmelCase  :  Optional[int]  ,       ):







           '''simple docstring'''

           __lowercase       	={} if sp_model_kwargs is None else sp_model_kwargs

           super().__init__(
               eos_token=_lowerCAmelCase  ,       unk_token=_lowerCAmelCase  ,       additional_special_tokens=_lowerCAmelCase  ,       sp_model_kwargs=self.sp_model_kwargs  ,       **_lowerCAmelCase  ,       )

           __lowercase       	=vocab_file
           __lowercase       	=spm.SentencePieceProcessor(**self.sp_model_kwargs)
           self.sp_model.Load(_lowerCAmelCase)

    @property
    def 				__lowerCamelCase     (							self  :  Tuple):







           '''simple docstring'''

           return self.sp_model.get_piece_size()

    def 				__lowerCamelCase     (							self  :  Tuple):







           '''simple docstring'''

           __lowercase       	={self.convert_ids_to_tokens(_lowerCAmelCase): i for i in range(self.vocab_size)}
           vocab.update(self.added_tokens_encoder)
           return vocab

    def __getstate__(							self  :  int):







           '''simple docstring'''

           __lowercase       	=self.__dict__.copy()
           __lowercase       	=None
           return state

    def __setstate__(							self  :  Optional[Any]  ,       _lowerCAmelCase  :  Tuple):







           '''simple docstring'''

           __lowercase       	=d

           # for backward compatibility
           if not hasattr(self  ,       'sp_model_kwargs'):
                  __lowercase       	={}

           __lowercase       	=spm.SentencePieceProcessor(**self.sp_model_kwargs)
           self.sp_model.Load(self.vocab_file)

    def 				__lowerCamelCase     (							self  :  List[Any]  ,       _lowerCAmelCase  :  str):







           '''simple docstring'''

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

    def 				__lowerCamelCase     (							self  :  Any  ,       _lowerCAmelCase  :  List[str]):







           '''simple docstring'''

           return self.sp_model.piece_to_id(_lowerCAmelCase)

    def 				__lowerCamelCase     (							self  :  str  ,       _lowerCAmelCase  :  Optional[int]):







           '''simple docstring'''

           if index < self.sp_model.get_piece_size():
                  __lowercase       	=self.sp_model.IdToPiece(_lowerCAmelCase)
           return token

    def 				__lowerCamelCase     (							self  :  List[str]  ,       _lowerCAmelCase  :  List[str]):







           '''simple docstring'''

           __lowercase       	=[]
           __lowercase       	=''
           for token in tokens:
                  # make sure that special tokens are not decoded using sentencepiece model
                  if token in self.all_special_tokens:
                         out_string += self.sp_model.decode(_lowerCAmelCase) + token
                         __lowercase       	=[]
                  else:
                         current_sub_tokens.append(_lowerCAmelCase)
           out_string += self.sp_model.decode(_lowerCAmelCase)
           return out_string.strip()

    def 				__lowerCamelCase     (							self  :  Tuple  ,       _lowerCAmelCase  :  str  ,       _lowerCAmelCase  :  Optional[str] = None):







           '''simple docstring'''

           if not os.path.isdir(_lowerCAmelCase):
                  logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
                  return
           __lowercase       	=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:
                         __lowercase       	=self.sp_model.serialized_model_proto()
                         fi.write(_lowerCAmelCase)

           return (out_vocab_file,)








'''simple docstring'''



import string



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	=''
							for i in sequence:
														__lowercase       	=ord(_lowerCAmelCase					)
														if 65 <= extract <= 90:
																					output += chr(155 - extract					)
														elif 97 <= extract <= 122:
																					output += chr(219 - extract					)
														else:
																					output += i
							return output



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	=string.ascii_letters
							__lowercase       	=string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
							return "".join(
							    letters_reversed[letters.index(_lowerCAmelCase					)] if c in letters else c for c in sequence					)



def   _A       (   ):



							"""simple docstring"""



							from timeit import timeit

							print('Running performance benchmarks...'					)
							__lowercase       	='from string import printable ; from __main__ import atbash, atbash_slow'
							print(f"""> atbash_slow(): {timeit('atbash_slow(printable)'  ,   setup=_lowerCAmelCase					)} seconds"""					)
							print(f""">      atbash(): {timeit('atbash(printable)'  ,   setup=_lowerCAmelCase					)} seconds"""					)


if __name__ == "__main__":
		for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
				print(f"{example} encrypted in atbash: {atbash(example)}")
		benchmark()



