"""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__						:						str		  =			logging.get_logger(__name__)

lowerCAmelCase__						:						Dict		  =			{'vocab_file': 'sentencepiece.model'}

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

lowerCAmelCase__						:						str		  =			{
    'google/rembert': 256,
}
class        snake_case (				__UpperCAmelCase       ):




					"""simple docstring"""

					snake_case__       					=				VOCAB_FILES_NAMES
					snake_case__       					=				PRETRAINED_VOCAB_FILES_MAP
					snake_case__       					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







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

									UpperCAmelCase__    =							do_lower_case
									UpperCAmelCase__    =							remove_space
									UpperCAmelCase__    =							keep_accents
									UpperCAmelCase__    =							vocab_file

									UpperCAmelCase__    =							spm.SentencePieceProcessor()
									self.sp_model.Load(lowerCamelCase__    )







					@property
					def 	__lowerCAmelCase		(       self     :			Tuple    ):
									return len(self.sp_model    )







					def 	__lowerCAmelCase		(       self     :			Dict    ):
									UpperCAmelCase__    =							{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     :			List[str]    ):
									UpperCAmelCase__    =							self.__dict__.copy()
									UpperCAmelCase__    =							None
									return state







					def __setstate__(       self     :			Dict					,lowerCamelCase__     :			Optional[Any]    ):
									UpperCAmelCase__    =							d
									UpperCAmelCase__    =							spm.SentencePieceProcessor()
									self.sp_model.Load(self.vocab_file    )







					def 	__lowerCAmelCase		(       self     :			Union[str, Any]					,lowerCamelCase__     :			int					,lowerCamelCase__     :			Tuple=False    ):
									UpperCAmelCase__    =							self.sp_model.EncodeAsPieces(lowerCamelCase__    )
									return pieces







					def 	__lowerCAmelCase		(       self     :			int					,lowerCamelCase__     :			List[str]    ):
									return self.sp_model.PieceToId(lowerCamelCase__    )







					def 	__lowerCAmelCase		(       self     :			List[Any]					,lowerCamelCase__     :			str    ):
									return self.sp_model.IdToPiece(lowerCamelCase__    )







					def 	__lowerCAmelCase		(       self     :			Optional[Any]					,lowerCamelCase__     :			List[Any]    ):
									UpperCAmelCase__    =							self.sp_model.decode_pieces(lowerCamelCase__    )
									return out_string







					def 	__lowerCAmelCase		(       self     :			Dict					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None    ):
									UpperCAmelCase__    =							[self.sep_token_id]
									UpperCAmelCase__    =							[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 	__lowerCAmelCase		(       self     :			Optional[int]					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None					,lowerCamelCase__     :			bool = False    ):

									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(lowerCamelCase__    )) + [1] + ([0] * len(lowerCamelCase__    )) + [1]
									return [1] + ([0] * len(lowerCamelCase__    )) + [1]







					def 	__lowerCAmelCase		(       self     :			Tuple					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None    ):
									UpperCAmelCase__    =							[self.sep_token_id]
									UpperCAmelCase__    =							[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 	__lowerCAmelCase		(       self     :			Optional[Any]					,lowerCamelCase__     :			str					,lowerCamelCase__     :			Optional[str] = None    ):
									if not os.path.isdir(lowerCamelCase__    ):
													logger.error('Vocabulary path ({}) should be a directory'.format(lowerCamelCase__    )    )
													return
									UpperCAmelCase__    =							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__    ):
													copyfile(self.vocab_file					,lowerCamelCase__    )

									return (out_vocab_file,)




"""simple docstring"""






import random
class        snake_case :




					"""simple docstring"""

					@staticmethod
					def 	__lowerCAmelCase		(       lowerCamelCase__     :			str    ):
									UpperCAmelCase__    =							[ord(lowerCamelCase__    ) for i in text]
									UpperCAmelCase__    =							[]
									UpperCAmelCase__    =							[]
									for i in plain:
													UpperCAmelCase__    =							random.randint(1					,300    )
													UpperCAmelCase__    =							(i + k) * k
													cipher.append(lowerCamelCase__    )
													key.append(lowerCamelCase__    )
									return cipher, key







					@staticmethod
					def 	__lowerCAmelCase		(       lowerCamelCase__     :			list[int]					,lowerCamelCase__     :			list[int]    ):
									UpperCAmelCase__    =							[]
									for i in range(len(lowerCamelCase__    )    ):
													UpperCAmelCase__    =							int((cipher[i] - (key[i]) ** 2) / key[i]    )
													plain.append(chr(lowerCamelCase__    )    )
									return "".join(lowerCamelCase__    )


if __name__ == "__main__":
						lowerCAmelCase__  ,			lowerCAmelCase__						:						Dict		  =			Onepad().encrypt('Hello')
						print(c, k)
						print(Onepad().decrypt(c, k))



