





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""": 2_5_6,
}



class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     int       			=      VOCAB_FILES_NAMES
			lowerCamelCase_     :     Union[str, Any]       			=      PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase_     :     Union[str, Any]       			=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






			def __init__(self					,							__magic_name__					,							__magic_name__=False					,							__magic_name__=True					,							__magic_name__=True					,							__magic_name__="[CLS]"					,							__magic_name__="[SEP]"					,							__magic_name__="[UNK]"					,							__magic_name__="[SEP]"					,							__magic_name__="[PAD]"					,							__magic_name__="[CLS]"					,							__magic_name__="[MASK]"					,							**__magic_name__					,							)     ->   Dict:


							'''simple docstring'''



							super().__init__(
							    do_lower_case=__magic_name__					,							remove_space=__magic_name__					,							keep_accents=__magic_name__					,							bos_token=__magic_name__					,							eos_token=__magic_name__					,							unk_token=__magic_name__					,							sep_token=__magic_name__					,							pad_token=__magic_name__					,							cls_token=__magic_name__					,							mask_token=__magic_name__					,							**__magic_name__					,							)

							snake_case_						:    Tuple				=  do_lower_case
							snake_case_						:    Union[str, Any]				=  remove_space
							snake_case_						:    List[str]				=  keep_accents
							snake_case_						:    Dict				=  vocab_file

							snake_case_						:    Dict				=  spm.SentencePieceProcessor()
							self.sp_model.Load(__magic_name__    )






			@property
			def 			lowerCamelCase  (self    )     ->   int:


							'''simple docstring'''



							return len(self.sp_model    )






			def 			lowerCamelCase  (self    )     ->   Optional[Any]:


							'''simple docstring'''



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






			def __getstate__(self    )     ->   Optional[Any]:


							'''simple docstring'''



							snake_case_						:    Union[str, Any]				=  self.__dict__.copy()
							snake_case_						:    Union[str, Any]				=  None
							return state






			def __setstate__(self					,							__magic_name__    )     ->   int:


							'''simple docstring'''



							snake_case_						:    Optional[int]				=  d
							snake_case_						:    int				=  spm.SentencePieceProcessor()
							self.sp_model.Load(self.vocab_file    )






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__=False    )     ->   List[Any]:


							'''simple docstring'''



							snake_case_						:    List[str]				=  self.sp_model.EncodeAsPieces(__magic_name__    )
							return pieces






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   int:


							'''simple docstring'''



							return self.sp_model.PieceToId(__magic_name__    )






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   Dict:


							'''simple docstring'''



							return self.sp_model.IdToPiece(__magic_name__    )






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   Optional[Any]:


							'''simple docstring'''



							snake_case_						:    Any				=  self.sp_model.decode_pieces(__magic_name__    )
							return out_string






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__ = None    )     ->   List[Any]:


							'''simple docstring'''



							snake_case_						:    int				=  [self.sep_token_id]
							snake_case_						:    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 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__ = None					,							__magic_name__ = False    )     ->   Any:


							'''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(__magic_name__    )) + [1] + ([0] * len(__magic_name__    )) + [1]
							return [1] + ([0] * len(__magic_name__    )) + [1]






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__ = None    )     ->   Dict:


							'''simple docstring'''



							snake_case_						:    Union[str, Any]				=  [self.sep_token_id]
							snake_case_						:    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					,							__magic_name__					,							__magic_name__ = None    )     ->   int:


							'''simple docstring'''



							if not os.path.isdir(__magic_name__    ):
											logger.error('''Vocabulary path ({}) should be a directory'''.format(__magic_name__    )    )
											return
							snake_case_						:    Optional[int]				=  os.path.join(
							    __magic_name__					,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )

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

							return (out_vocab_file,)




'''simple docstring'''

from __future__ import annotations





def __snake_case					(      UpperCAmelCase_						:						int		):
 lowerCamelCase_      =  2
 lowerCamelCase_      =  []
 while i * i <= n:
  if n % i:
   i += 1
  else:
   n //= i
   factors.append(UpperCAmelCase_		)
 if n > 1:
  factors.append(UpperCAmelCase_		)
 return factors


if __name__ == "__main__":
     import doctest

     doctest.testmod()



