'''simple docstring'''
from abc import ABC, abstractmethod
from typing import List, Optional


class        a__  (							lowerCamelCase_  ):


   def __init__(			self  ):





      """simple docstring"""





      self.test()


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Dict      					=       0
      _lowercase      :				Dict      					=       False
      while not completed:
         if counter == 1:
            self.reset()
         _lowercase      :				List[str]      					=       self.advance()
         if not self.does_advance(_UpperCamelCase  ):
            raise Exception(
                "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."  )

         _lowercase      :				Any      					=       self.update(_UpperCamelCase  )
         counter += 1

         if counter > 10000:
            raise Exception("update() does not fulfill the constraint."  )

      if self.remaining() != 0:
         raise Exception("Custom Constraint is not defined correctly."  )


   @abstractmethod
   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      raise NotImplementedError(
          f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''  )


   @abstractmethod
   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      raise NotImplementedError(
          f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''  )


   @abstractmethod
   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      raise NotImplementedError(
          f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''  )


   @abstractmethod
   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      raise NotImplementedError(
          f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''  )


   @abstractmethod
   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      raise NotImplementedError(
          f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''  )






   @abstractmethod
   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase=False  ):





      """simple docstring"""





      raise NotImplementedError(
          f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''  )




class        a__  (							lowerCamelCase_  ):


   def __init__(			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      super(_UpperCamelCase      ,    self  ).__init__()

      if not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) or len(_UpperCamelCase  ) == 0:
         raise ValueError(f'''`token_ids` has to be a non-empty list, but is {token_ids}.'''  )
      if any((not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) or token_id < 0) for token_id in token_ids  ):
         raise ValueError(f'''Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.'''  )

      _lowercase      :				Optional[Any]      					=       token_ids

      _lowercase      :				Optional[Any]      					=       len(self.token_ids  )
      _lowercase      :				Union[str, Any]      					=       -1  # the index of the currently fulfilled step
      _lowercase      :				int      					=       False


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      if self.completed:
         return None
      return self.token_ids[self.fulfilled_idx + 1]


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      if not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ):
         raise ValueError(f'''`token_id` has to be an `int`, but is {token_id} of type {type(_UpperCamelCase  )}'''  )

      if self.completed:
         return False

      return token_id == self.token_ids[self.fulfilled_idx + 1]


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      if not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ):
         raise ValueError(f'''`token_id` has to be an `int`, but is {token_id} of type {type(_UpperCamelCase  )}'''  )

      _lowercase      :				Union[str, Any]      					=       False
      _lowercase      :				str      					=       False
      _lowercase      :				List[Any]      					=       False

      if self.does_advance(_UpperCamelCase  ):
         self.fulfilled_idx += 1
         _lowercase      :				Optional[int]      					=       True
         if self.fulfilled_idx == (self.seqlen - 1):
            _lowercase      :				Union[str, Any]      					=       True
         _lowercase      :				Dict      					=       completed
      else:
         # failed to make progress.
         _lowercase      :				List[Any]      					=       True
         self.reset()
      return stepped, completed, reset


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Optional[Any]      					=       False
      _lowercase      :				Any      					=       0


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      return self.seqlen - (self.fulfilled_idx + 1)






   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase=False  ):





      """simple docstring"""





      _lowercase      :				Optional[int]      					=       PhrasalConstraint(self.token_ids  )

      if stateful:
         _lowercase      :				Any      					=       self.seqlen
         _lowercase      :				Optional[int]      					=       self.fulfilled_idx
         _lowercase      :				str      					=       self.completed

      return new_constraint




class        a__  :


   def __init__(			self      ,    _UpperCamelCase      ,    _UpperCamelCase=True  ):





      """simple docstring"""





      _lowercase      :				Tuple      					=       max([len(_UpperCamelCase  ) for one in nested_token_ids]  )

      _lowercase      :				List[str]      					=       {}
      for token_ids in nested_token_ids:
         _lowercase      :				List[str]      					=       root
         for tidx, token_id in enumerate(_UpperCamelCase  ):
            if token_id not in level:
               _lowercase      :				List[Any]      					=       {}

            _lowercase      :				Any      					=       level[token_id]

      if no_subsets and self.has_subsets(_UpperCamelCase      ,    _UpperCamelCase  ):
         raise ValueError(
             "Each list in `nested_token_ids` can't be a complete subset of another list, but is"
             f''' {nested_token_ids}.'''  )

      _lowercase      :				Tuple      					=       root


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				List[str]      					=       self.trie

      for current_token in current_seq:
         _lowercase      :				List[str]      					=       start[current_token]

      _lowercase      :				List[str]      					=       list(start.keys()  )

      return next_tokens


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				Optional[int]      					=       self.next_tokens(_UpperCamelCase  )

      return len(_UpperCamelCase  ) == 0


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				Optional[int]      					=       list(root.values()  )
      if len(_UpperCamelCase  ) == 0:
         return 1
      else:
         return sum([self.count_leaves(_UpperCamelCase  ) for nn in next_nodes]  )






   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				Optional[Any]      					=       self.count_leaves(_UpperCamelCase  )
      return len(_UpperCamelCase  ) != leaf_count




class        a__  (							lowerCamelCase_  ):


   def __init__(			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      super(_UpperCamelCase      ,    self  ).__init__()

      if not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) or len(_UpperCamelCase  ) == 0:
         raise ValueError(f'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.'''  )
      if any(not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) for token_ids in nested_token_ids  ):
         raise ValueError(f'''`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.'''  )
      if any(
          any((not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) or token_id < 0) for token_id in token_ids  )
          for token_ids in nested_token_ids  ):
         raise ValueError(
             f'''Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.'''  )

      _lowercase      :				Optional[Any]      					=       DisjunctiveTrie(_UpperCamelCase  )
      _lowercase      :				List[str]      					=       nested_token_ids

      _lowercase      :				str      					=       self.trie.max_height
      _lowercase      :				Union[str, Any]      					=       []
      _lowercase      :				Optional[int]      					=       False


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Tuple      					=       self.trie.next_tokens(self.current_seq  )

      if len(_UpperCamelCase  ) == 0:
         return None
      else:
         return token_list


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      if not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ):
         raise ValueError(f'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(_UpperCamelCase  )}'''  )

      _lowercase      :				List[Any]      					=       self.trie.next_tokens(self.current_seq  )

      return token_id in next_tokens


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      if not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ):
         raise ValueError(f'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(_UpperCamelCase  )}'''  )

      _lowercase      :				Any      					=       False
      _lowercase      :				Any      					=       False
      _lowercase      :				Optional[int]      					=       False

      if self.does_advance(_UpperCamelCase  ):
         self.current_seq.append(_UpperCamelCase  )
         _lowercase      :				Union[str, Any]      					=       True
      else:
         _lowercase      :				Tuple      					=       True
         self.reset()

      _lowercase      :				Dict      					=       self.trie.reached_leaf(self.current_seq  )
      _lowercase      :				str      					=       completed

      return stepped, completed, reset


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Dict      					=       False
      _lowercase      :				int      					=       []


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      if self.completed:
         # since this can be completed without reaching max height
         return 0
      else:
         return self.seqlen - len(self.current_seq  )






   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase=False  ):





      """simple docstring"""





      _lowercase      :				Dict      					=       DisjunctiveConstraint(self.token_ids  )

      if stateful:
         _lowercase      :				Dict      					=       self.seqlen
         _lowercase      :				Union[str, Any]      					=       self.current_seq
         _lowercase      :				Optional[int]      					=       self.completed

      return new_constraint




class        a__  :


   def __init__(			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				Union[str, Any]      					=       constraints

      # max # of steps required to fulfill a given constraint
      _lowercase      :				List[Any]      					=       max([c.seqlen for c in constraints]  )
      _lowercase      :				str      					=       len(_UpperCamelCase  )
      _lowercase      :				Union[str, Any]      					=       False

      self.init_state()


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Tuple      					=       []
      _lowercase      :				Union[str, Any]      					=       None
      _lowercase      :				List[Any]      					=       [constraint.copy(stateful=_UpperCamelCase  ) for constraint in self.constraints]


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Dict      					=       0
      if self.inprogress_constraint:
         # extra points for having a constraint mid-fulfilled
         add += self.max_seqlen - self.inprogress_constraint.remaining()

      return (len(self.complete_constraints  ) * self.max_seqlen) + add


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Dict      					=       []
      if self.inprogress_constraint is None:
         for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
            _lowercase      :				Tuple      					=       constraint.advance()
            if isinstance(_UpperCamelCase      ,    _UpperCamelCase  ):
               token_list.append(_UpperCamelCase  )
            elif isinstance(_UpperCamelCase      ,    _UpperCamelCase  ):
               token_list.extend(_UpperCamelCase  )
      else:
         _lowercase      :				str      					=       self.inprogress_constraint.advance()
         if isinstance(_UpperCamelCase      ,    _UpperCamelCase  ):
            token_list.append(_UpperCamelCase  )
         elif isinstance(_UpperCamelCase      ,    _UpperCamelCase  ):
            token_list.extend(_UpperCamelCase  )

      if len(_UpperCamelCase  ) == 0:
         return None
      else:
         return token_list


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      self.init_state()

      if token_ids is not None:
         for token in token_ids:
            # completes or steps **one** constraint
            _lowercase      :				Optional[int]      					=       self.add(_UpperCamelCase  )

            # the entire list of constraints are fulfilled
            if self.completed:
               break


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      if not isinstance(_UpperCamelCase      ,    _UpperCamelCase  ):
         raise ValueError(f'''`token_id` should be an `int`, but is `{token_id}`.'''  )

      _lowercase      :				str      					=       False, False

      if self.completed:
         _lowercase      :				Tuple      					=       True
         _lowercase      :				int      					=       False
         return complete, stepped

      if self.inprogress_constraint is not None:
         # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
         # job, simply update the state

         _lowercase      :				Tuple      					=       self.inprogress_constraint.update(_UpperCamelCase  )
         if reset:
            # 1. If the next token breaks the progress, then we must restart.
            #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

            #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
            #     constraint, not the full list of constraints.

            self.pending_constraints.append(self.inprogress_constraint.copy(stateful=_UpperCamelCase  )  )
            _lowercase      :				Tuple      					=       None

         if complete:
            # 2. If the next token completes the constraint, move it to completed list, set
            #     inprogress to None. If there are no pending constraints either, then this full list of constraints
            #     is complete.

            self.complete_constraints.append(self.inprogress_constraint  )
            _lowercase      :				Dict      					=       None

            if len(self.pending_constraints  ) == 0:
               # we're done!
               _lowercase      :				str      					=       True

      else:
         # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
         # of constraints?

         for cidx, pending_constraint in enumerate(self.pending_constraints  ):
            if pending_constraint.does_advance(_UpperCamelCase  ):
               _lowercase      :				List[Any]      					=       pending_constraint.update(_UpperCamelCase  )

               if not stepped:
                  raise Exception(
                      "`constraint.update(token_id)` is not yielding incremental progress, "
                      "even though `constraint.does_advance(token_id)` is true."  )

               if complete:
                  self.complete_constraints.append(_UpperCamelCase  )
                  _lowercase      :				List[str]      					=       None

               if not complete and stepped:
                  _lowercase      :				Any      					=       pending_constraint

               if complete or stepped:
                  # If we made any progress at all, then it's at least not a "pending constraint".

                  _lowercase      :				Union[str, Any]      					=       (
                      self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
                  )

                  if len(self.pending_constraints  ) == 0 and self.inprogress_constraint is None:
                     # If there's no longer any pending after this and no inprogress either, then we must be
                     # complete.

                     _lowercase      :				Dict      					=       True

                  break  # prevent accidentally stepping through multiple constraints with just one token.

      return complete, stepped






   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase=True  ):





      """simple docstring"""





      _lowercase      :				List[str]      					=       ConstraintListState(self.constraints  )  # we actually never though self.constraints objects
      # throughout this process. So it's at initialization state.

      if stateful:
         _lowercase      :				int      					=       [
             constraint.copy(stateful=_UpperCamelCase  ) for constraint in self.complete_constraints
         ]
         if self.inprogress_constraint is not None:
            _lowercase      :				Optional[Any]      					=       self.inprogress_constraint.copy(stateful=_UpperCamelCase  )
         _lowercase      :				Optional[int]      					=       [constraint.copy() for constraint in self.pending_constraints]

      return new_state









'''simple docstring'''
import os
import re
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_snake_case         =  logging.get_logger(__name__)

_snake_case         =  {'vocab_file': 'spiece.model'}

_snake_case         =  {
    'vocab_file': {
        'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model',
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'
        ),
    }
}

_snake_case         =  {
    'google/bigbird-roberta-base': 4_096,
    'google/bigbird-roberta-large': 4_096,
    'google/bigbird-base-trivia-itc': 4_096,
}


class        a__  (							lowerCamelCase_  ):
   _SCREAMING_SNAKE_CASE   :					List[Any]     	=							VOCAB_FILES_NAMES
   _SCREAMING_SNAKE_CASE   :					Any     	=							PRETRAINED_VOCAB_FILES_MAP
   _SCREAMING_SNAKE_CASE   :					Optional[Any]     	=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _SCREAMING_SNAKE_CASE   :					Optional[int]     	=							['input_ids', 'attention_mask']
   _SCREAMING_SNAKE_CASE   :					List[int]     	=							[]


   def __init__(			self      ,    _UpperCamelCase      ,    _UpperCamelCase="<unk>"      ,    _UpperCamelCase="<s>"      ,    _UpperCamelCase="</s>"      ,    _UpperCamelCase="<pad>"      ,    _UpperCamelCase="[SEP]"      ,    _UpperCamelCase="[MASK]"      ,    _UpperCamelCase="[CLS]"      ,    _UpperCamelCase = None      ,    **_UpperCamelCase      ,    ):





      """simple docstring"""





      _lowercase      :				Optional[int]      					=       AddedToken(_UpperCamelCase      ,    lstrip=_UpperCamelCase      ,    rstrip=_UpperCamelCase  ) if isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) else bos_token
      _lowercase      :				Optional[int]      					=       AddedToken(_UpperCamelCase      ,    lstrip=_UpperCamelCase      ,    rstrip=_UpperCamelCase  ) if isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) else eos_token
      _lowercase      :				Optional[Any]      					=       AddedToken(_UpperCamelCase      ,    lstrip=_UpperCamelCase      ,    rstrip=_UpperCamelCase  ) if isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) else unk_token
      _lowercase      :				Union[str, Any]      					=       AddedToken(_UpperCamelCase      ,    lstrip=_UpperCamelCase      ,    rstrip=_UpperCamelCase  ) if isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) else pad_token
      _lowercase      :				Any      					=       AddedToken(_UpperCamelCase      ,    lstrip=_UpperCamelCase      ,    rstrip=_UpperCamelCase  ) if isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) else cls_token
      _lowercase      :				str      					=       AddedToken(_UpperCamelCase      ,    lstrip=_UpperCamelCase      ,    rstrip=_UpperCamelCase  ) if isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) else sep_token

      # Mask token behave like a normal word, i.e. include the space before it
      _lowercase      :				Any      					=       AddedToken(_UpperCamelCase      ,    lstrip=_UpperCamelCase      ,    rstrip=_UpperCamelCase  ) if isinstance(_UpperCamelCase      ,    _UpperCamelCase  ) else mask_token

      _lowercase      :				Dict      					=       {} if sp_model_kwargs is None else sp_model_kwargs

      super().__init__(
          bos_token=_UpperCamelCase      ,    eos_token=_UpperCamelCase      ,    unk_token=_UpperCamelCase      ,    pad_token=_UpperCamelCase      ,    sep_token=_UpperCamelCase      ,    mask_token=_UpperCamelCase      ,    cls_token=_UpperCamelCase      ,    sp_model_kwargs=self.sp_model_kwargs      ,    **_UpperCamelCase      ,    )

      _lowercase      :				str      					=       vocab_file

      _lowercase      :				List[Any]      					=       spm.SentencePieceProcessor(**self.sp_model_kwargs  )
      self.sp_model.Load(_UpperCamelCase  )


   @property
   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      return self.sp_model.get_piece_size()


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Dict      					=       {self.convert_ids_to_tokens(_UpperCamelCase  ): i for i in range(self.vocab_size  )}
      vocab.update(self.added_tokens_encoder  )
      return vocab


   def __getstate__(			self  ):





      """simple docstring"""





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


   def __setstate__(			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				Dict      					=       d

      # for backward compatibility
      if not hasattr(self      ,    "sp_model_kwargs"  ):
         _lowercase      :				Optional[Any]      					=       {}

      _lowercase      :				Optional[Any]      					=       spm.SentencePieceProcessor(**self.sp_model_kwargs  )
      self.sp_model.Load(self.vocab_file  )


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





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


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      return self.sp_model.piece_to_id(_UpperCamelCase  )


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				List[Any]      					=       self.sp_model.IdToPiece(_UpperCamelCase  )
      return token


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				Optional[int]      					=       []
      _lowercase      :				int      					=       ""
      _lowercase      :				Tuple      					=       False
      for token in tokens:
         # make sure that special tokens are not decoded using sentencepiece model
         if token in self.all_special_tokens:
            if not prev_is_special:
               out_string += " "
            out_string += self.sp_model.decode(_UpperCamelCase  ) + token
            _lowercase      :				Union[str, Any]      					=       True
            _lowercase      :				Optional[int]      					=       []
         else:
            current_sub_tokens.append(_UpperCamelCase  )
            _lowercase      :				str      					=       False
      out_string += self.sp_model.decode(_UpperCamelCase  )
      return out_string.strip()


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase      ,    _UpperCamelCase = False      ,    _UpperCamelCase = None      ,    _UpperCamelCase = True      ,    **_UpperCamelCase      ,    ):





      """simple docstring"""





      _lowercase      :				Any      					=       kwargs.pop("use_source_tokenizer"      ,    _UpperCamelCase  )

      _lowercase      :				Dict      					=       self.convert_ids_to_tokens(_UpperCamelCase      ,    skip_special_tokens=_UpperCamelCase  )

      # To avoid mixing byte-level and unicode for byte-level BPT
      # we need to build string separately for added tokens and byte-level tokens
      # cf. https://github.com/huggingface/transformers/issues/1133
      _lowercase      :				Dict      					=       []
      _lowercase      :				Any      					=       []
      for token in filtered_tokens:
         if skip_special_tokens and token in self.all_special_ids:
            continue
         if token in self.added_tokens_encoder:
            if current_sub_text:
               sub_texts.append(self.convert_tokens_to_string(_UpperCamelCase  )  )
               _lowercase      :				Optional[Any]      					=       []
            sub_texts.append(_UpperCamelCase  )
         else:
            current_sub_text.append(_UpperCamelCase  )
      if current_sub_text:
         sub_texts.append(self.convert_tokens_to_string(_UpperCamelCase  )  )

      # Mimic the behavior of the Rust tokenizer:
      # No space before [MASK] and [SEP]
      if spaces_between_special_tokens:
         _lowercase      :				List[str]      					=       re.sub(R" (\[(MASK|SEP)\])"      ,    R"\1"      ,    " ".join(_UpperCamelCase  )  )
      else:
         _lowercase      :				List[Any]      					=       "".join(_UpperCamelCase  )

      _lowercase      :				Optional[int]      					=       (
          clean_up_tokenization_spaces
          if clean_up_tokenization_spaces is not None
          else self.clean_up_tokenization_spaces
      )
      if clean_up_tokenization_spaces:
         _lowercase      :				Tuple      					=       self.clean_up_tokenization(_UpperCamelCase  )
         return clean_text
      else:
         return text


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase      ,    _UpperCamelCase = None  ):





      """simple docstring"""





      if not os.path.isdir(_UpperCamelCase  ):
         logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''  )
         return
      _lowercase      :				Optional[Any]      					=       os.path.join(
          _UpperCamelCase      ,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )

      if os.path.abspath(self.vocab_file  ) != os.path.abspath(_UpperCamelCase  ) and os.path.isfile(self.vocab_file  ):
         copyfile(self.vocab_file      ,    _UpperCamelCase  )
      elif not os.path.isfile(self.vocab_file  ):
         with open(_UpperCamelCase      ,    "wb"  ) as fi:
            _lowercase      :				List[str]      					=       self.sp_model.serialized_model_proto()
            fi.write(_UpperCamelCase  )

      return (out_vocab_file,)


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase      ,    _UpperCamelCase = None  ):





      """simple docstring"""





      if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      _lowercase      :				str      					=       [self.cls_token_id]
      _lowercase      :				List[str]      					=       [self.sep_token_id]
      return cls + token_ids_a + sep + token_ids_a + sep


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase      ,    _UpperCamelCase = None      ,    _UpperCamelCase = False  ):





      """simple docstring"""





      if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=_UpperCamelCase      ,    token_ids_a=_UpperCamelCase      ,    already_has_special_tokens=_UpperCamelCase  )

      if token_ids_a is None:
         return [1] + ([0] * len(_UpperCamelCase  )) + [1]
      return [1] + ([0] * len(_UpperCamelCase  )) + [1] + ([0] * len(_UpperCamelCase  )) + [1]






   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase      ,    _UpperCamelCase = None  ):





      """simple docstring"""





      _lowercase      :				str      					=       [self.sep_token_id]
      _lowercase      :				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]






