





'''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


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

__SCREAMING_SNAKE_CASE     :Tuple       =				{'''vocab_file''': '''sentencepiece.model'''}

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

__SCREAMING_SNAKE_CASE     :List[Any]       =				{
    '''google/rembert''': 256,
}







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : Optional[Any]           =							VOCAB_FILES_NAMES
 _lowerCamelCase  : Union[str, Any]           =							PRETRAINED_VOCAB_FILES_MAP
 _lowerCamelCase  : Any           =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




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

      _UpperCAmelCase     							=   do_lower_case
      _UpperCAmelCase     							=   remove_space
      _UpperCAmelCase     							=   keep_accents
      _UpperCAmelCase     							=   vocab_file

      _UpperCAmelCase     							=   spm.SentencePieceProcessor()
      self.sp_model.Load(snake_case_    )




 @property
 def      lowercase	(					self       :    Union[str, Any]    ):
      return len(self.sp_model    )




 def      lowercase	(					self       :    Union[str, Any]    ):
      _UpperCAmelCase     							=   {self.convert_ids_to_tokens(snake_case_    ): i for i in range(self.vocab_size    )}
      vocab.update(self.added_tokens_encoder    )
      return vocab




 def __getstate__(					self       :    Tuple    ):
      _UpperCAmelCase     							=   self.__dict__.copy()
      _UpperCAmelCase     							=   None
      return state




 def __setstate__(					self       :    Tuple	,			snake_case_       :    Dict    ):
      _UpperCAmelCase     							=   d
      _UpperCAmelCase     							=   spm.SentencePieceProcessor()
      self.sp_model.Load(self.vocab_file    )




 def      lowercase	(					self       :    Union[str, Any]	,			snake_case_       :    Union[str, Any]	,			snake_case_       :    str=False    ):
      _UpperCAmelCase     							=   self.sp_model.EncodeAsPieces(snake_case_    )
      return pieces




 def      lowercase	(					self       :    Union[str, Any]	,			snake_case_       :    Optional[Any]    ):
      return self.sp_model.PieceToId(snake_case_    )




 def      lowercase	(					self       :    Dict	,			snake_case_       :    Tuple    ):
      return self.sp_model.IdToPiece(snake_case_    )




 def      lowercase	(					self       :    Dict	,			snake_case_       :    Union[str, Any]    ):
      _UpperCAmelCase     							=   self.sp_model.decode_pieces(snake_case_    )
      return out_string




 def      lowercase	(					self       :    Union[str, Any]	,			snake_case_       :    List[int]	,			snake_case_       :    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      lowercase	(					self       :    Optional[Any]	,			snake_case_       :    List[int]	,			snake_case_       :    Optional[List[int]] = None	,			snake_case_       :    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(snake_case_    )) + [1] + ([0] * len(snake_case_    )) + [1]
      return [1] + ([0] * len(snake_case_    )) + [1]




 def      lowercase	(					self       :    Tuple	,			snake_case_       :    List[int]	,			snake_case_       :    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      lowercase	(					self       :    Tuple	,			snake_case_       :    str	,			snake_case_       :    Optional[str] = None    ):
      if not os.path.isdir(snake_case_    ):
           logger.error("Vocabulary path ({}) should be a directory".format(snake_case_    )    )
           return
      _UpperCAmelCase     							=   os.path.join(
          snake_case_	,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]    )

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

      return (out_vocab_file,)












class  UpperCamelCase_      :



	'''simple docstring'''




	def __init__(       self       ,			a					)       ->    None:
								snake_case_				=							set_counts
								snake_case_				=							max(a					)
								snake_case_				=							len(a					)
								snake_case_				=							[1] * num_sets
								snake_case_				=							list(range(a					)					)




	def 							_UpperCamelCase			(       self       ,			a       ,			a					)       ->    bool:
								snake_case_				=							self.get_parent(a					)
								snake_case_				=							self.get_parent(a					)

								if src_parent == dst_parent:
															return False

								if self.ranks[dst_parent] >= self.ranks[src_parent]:
															self.set_counts[dst_parent] += self.set_counts[src_parent]
															snake_case_				=							0
															snake_case_				=							dst_parent
															if self.ranks[dst_parent] == self.ranks[src_parent]:
																						self.ranks[dst_parent] += 1
															snake_case_				=							self.set_counts[dst_parent]
								else:
															self.set_counts[src_parent] += self.set_counts[dst_parent]
															snake_case_				=							0
															snake_case_				=							src_parent
															snake_case_				=							self.set_counts[src_parent]

								snake_case_				=							max(self.max_set       ,			a					)
								return True






	def 							_UpperCamelCase			(       self       ,			a					)       ->    int:
								if self.parents[disj_set] == disj_set:
															return disj_set
								snake_case_				=							self.get_parent(self.parents[disj_set]					)
								return self.parents[disj_set]





