



'''simple docstring'''





__snake_case       :	Any            ='\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

__snake_case       :	Tuple            =[{'type': 'code', 'content': INSTALL_CONTENT}]
__snake_case       :	Optional[int]            ={
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}






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


__snake_case       :	Union[str, Any]            =logging.get_logger(__name__)

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

__snake_case       :	Optional[Any]            ={
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
}

__snake_case       :	int            ={
    'google/rembert': 2_5_6,
}



class  lowerCamelCase__    (							lowerCamelCase__):




		'''simple docstring'''



		snake_case_			=VOCAB_FILES_NAMES
		snake_case_			=PRETRAINED_VOCAB_FILES_MAP
		snake_case_			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



		def __init__(self	,__lowerCamelCase	,__lowerCamelCase=False	,__lowerCamelCase=True	,__lowerCamelCase=True	,__lowerCamelCase="[CLS]"	,__lowerCamelCase="[SEP]"	,__lowerCamelCase="[UNK]"	,__lowerCamelCase="[SEP]"	,__lowerCamelCase="[PAD]"	,__lowerCamelCase="[CLS]"	,__lowerCamelCase="[MASK]"	,**__lowerCamelCase	,)  ->    Union[str, Any]:

						"""simple docstring"""






						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	,)

						lowerCAmelCase__  :       int				=  do_lower_case
						lowerCAmelCase__  :       Optional[Any]				=  remove_space
						lowerCAmelCase__  :       Any				=  keep_accents
						lowerCAmelCase__  :       Dict				=  vocab_file

						lowerCAmelCase__  :       List[str]				=  spm.SentencePieceProcessor()
						self.sp_model.Load(__lowerCamelCase				)



		@property
		def 	lowerCAmelCase__   (self				)  ->    List[str]:

						"""simple docstring"""






						return len(self.sp_model				)



		def 	lowerCAmelCase__   (self				)  ->    List[Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       int				=  {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				)  ->    Union[str, Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  self.__dict__.copy()
						lowerCAmelCase__  :       Dict				=  None
						return state



		def __setstate__(self	,__lowerCamelCase				)  ->    int:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  d
						lowerCAmelCase__  :       List[str]				=  spm.SentencePieceProcessor()
						self.sp_model.Load(self.vocab_file				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase=False				)  ->    Tuple:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  self.sp_model.EncodeAsPieces(__lowerCamelCase				)
						return pieces



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Dict:

						"""simple docstring"""






						return self.sp_model.PieceToId(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    List[str]:

						"""simple docstring"""






						return self.sp_model.IdToPiece(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    List[str]:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  self.sp_model.decode_pieces(__lowerCamelCase				)
						return out_string



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    List[int]:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  [self.sep_token_id]
						lowerCAmelCase__  :       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 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None	,__lowerCamelCase = False				)  ->    List[int]:

						"""simple docstring"""






						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	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    List[int]:

						"""simple docstring"""






						lowerCAmelCase__  :       Union[str, Any]				=  [self.sep_token_id]
						lowerCAmelCase__  :       Union[str, 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 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    Tuple[str]:

						"""simple docstring"""






						if not os.path.isdir(__lowerCamelCase				):
										logger.error('''Vocabulary path ({}) should be a directory'''.format(__lowerCamelCase				)				)
										return
						lowerCAmelCase__  :       Union[str, 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				):
										copyfile(self.vocab_file	,__lowerCamelCase				)

						return (out_vocab_file,)

