



"""simple docstring"""







import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_big_bird import BigBirdTokenizer
else:
     lowercase__		:				List[Any]          =	None

lowercase__		:				List[Any]          =	logging.get_logger(__name__)
lowercase__		:				Dict          =	{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

lowercase__		:				List[Any]          =	{
    """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"""
        ),
    },
    """tokenizer_file""": {
        """google/bigbird-roberta-base""": (
            """https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-roberta-large""": (
            """https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-base-trivia-itc""": (
            """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json"""
        ),
    },
}

lowercase__		:				List[str]          =	{
    """google/bigbird-roberta-base""": 4_0_9_6,
    """google/bigbird-roberta-large""": 4_0_9_6,
    """google/bigbird-base-trivia-itc""": 4_0_9_6,
}


lowercase__		:				int          =	"""▁"""







class       UpperCamelCase__   (	lowercase__  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     VOCAB_FILES_NAMES
      _SCREAMING_SNAKE_CASE  				=     PRETRAINED_VOCAB_FILES_MAP
      _SCREAMING_SNAKE_CASE  				=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _SCREAMING_SNAKE_CASE  				=     BigBirdTokenizer
      _SCREAMING_SNAKE_CASE  				=     ['''input_ids''', '''attention_mask''']
      _SCREAMING_SNAKE_CASE  				=     []



      def __init__(      self				:      int    ,			SCREAMING_SNAKE_CASE_				:      List[Any]=None    ,			SCREAMING_SNAKE_CASE_				:      List[Any]=None    ,			SCREAMING_SNAKE_CASE_				:      Tuple="<unk>"    ,			SCREAMING_SNAKE_CASE_				:      Tuple="<s>"    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]="</s>"    ,			SCREAMING_SNAKE_CASE_				:      Dict="<pad>"    ,			SCREAMING_SNAKE_CASE_				:      Dict="[SEP]"    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]="[MASK]"    ,			SCREAMING_SNAKE_CASE_				:      Optional[Any]="[CLS]"    ,			**SCREAMING_SNAKE_CASE_				:      Union[str, Any]    ,			):
        lowerCAmelCase_   :				int								= AddedToken(_a    ,			lstrip=_a    ,			rstrip=_a       ) if isinstance(_a    ,			_a       ) else bos_token
        lowerCAmelCase_   :				List[str]								= AddedToken(_a    ,			lstrip=_a    ,			rstrip=_a       ) if isinstance(_a    ,			_a       ) else eos_token
        lowerCAmelCase_   :				Optional[Any]								= AddedToken(_a    ,			lstrip=_a    ,			rstrip=_a       ) if isinstance(_a    ,			_a       ) else unk_token
        lowerCAmelCase_   :				Union[str, Any]								= AddedToken(_a    ,			lstrip=_a    ,			rstrip=_a       ) if isinstance(_a    ,			_a       ) else pad_token
        lowerCAmelCase_   :				Any								= AddedToken(_a    ,			lstrip=_a    ,			rstrip=_a       ) if isinstance(_a    ,			_a       ) else cls_token
        lowerCAmelCase_   :				Tuple								= AddedToken(_a    ,			lstrip=_a    ,			rstrip=_a       ) if isinstance(_a    ,			_a       ) else sep_token

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

        super().__init__(
            _a    ,			tokenizer_file=_a    ,			bos_token=_a    ,			eos_token=_a    ,			unk_token=_a    ,			sep_token=_a    ,			pad_token=_a    ,			cls_token=_a    ,			mask_token=_a    ,			**_a    ,			)

        lowerCAmelCase_   :				Union[str, Any]								= vocab_file
        lowerCAmelCase_   :				Union[str, Any]								= False if not self.vocab_file else True



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]    ,			SCREAMING_SNAKE_CASE_				:      List[int]    ,			SCREAMING_SNAKE_CASE_				:      Optional[List[int]] = None       ):
        lowerCAmelCase_   :				Tuple								= [self.sep_token_id]
        lowerCAmelCase_   :				Tuple								= [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      SCREAMING_SNAKE_CASE__ (      self				:      Optional[int]    ,			SCREAMING_SNAKE_CASE_				:      List[int]    ,			SCREAMING_SNAKE_CASE_				:      Optional[List[int]] = None    ,			SCREAMING_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 None:
          return [1] + ([0] * len(_a       )) + [1]
        return [1] + ([0] * len(_a       )) + [1] + ([0] * len(_a       )) + [1]



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]    ,			SCREAMING_SNAKE_CASE_				:      List[int]    ,			SCREAMING_SNAKE_CASE_				:      Optional[List[int]] = None       ):
        lowerCAmelCase_   :				str								= [self.sep_token_id]
        lowerCAmelCase_   :				List[str]								= [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      SCREAMING_SNAKE_CASE__ (      self				:      str    ,			SCREAMING_SNAKE_CASE_				:      str    ,			SCREAMING_SNAKE_CASE_				:      Optional[str] = None       ):






        if not self.can_save_slow_tokenizer:
          raise ValueError(
              'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
              'tokenizer.'       )

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

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

        return (out_vocab_file,)







'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

__lowerCAmelCase         =    TypeVar("""T""")







class UpperCAmelCase__	( Generic[T]	):





  """simple docstring"""

  def __init__(		self      :     Tuple							,_a      :     T       ):


     '''simple docstring'''






     _a				:	List[str]			=   data
     _a				:	Node[T] | None			=   None


  def __str__(		self      :     Dict       ):


     '''simple docstring'''






     return F"""{self.data}"""







class UpperCAmelCase__	( Generic[T]	):





  """simple docstring"""

  def __init__(		self      :     Optional[int]       ):


     '''simple docstring'''






     _a				:	Node[T] | None			=   None


  def __iter__(		self      :     str       ):


     '''simple docstring'''






     _a				:	Tuple			=   self.top
     while node:
        yield node.data
        _a				:	int			=   node.next


  def __str__(		self      :     str       ):


     '''simple docstring'''






     return "->".join([str(_a       ) for item in self]       )


  def __len__(		self      :     Optional[Any]       ):


     '''simple docstring'''






     return len(tuple(iter(self       )       )       )


  def   __lowercase		(		self      :     str       ):


     '''simple docstring'''






     return self.top is None


  def   __lowercase		(		self      :     List[Any]							,_a      :     T       ):


     '''simple docstring'''






     _a				:	int			=   Node(_a       )
     if not self.is_empty():
        _a				:	Optional[Any]			=   self.top
     _a				:	List[str]			=   node


  def   __lowercase		(		self      :     Tuple       ):


     '''simple docstring'''






     if self.is_empty():
        raise IndexError('pop from empty stack'       )
     assert isinstance(self.top							,_a       )
     _a				:	List[Any]			=   self.top
     _a				:	int			=   self.top.next
     return pop_node.data


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     if self.is_empty():
        raise IndexError('peek from empty stack'       )

     assert self.top is not None
     return self.top.data


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     _a				:	Optional[int]			=   None


if __name__ == "__main__":
  from doctest import testmod

  testmod()



