






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:
						__UpperCamelCase      :      Optional[Any]     						=						None

__UpperCamelCase      :      Any     						=						logging.get_logger(__name__)
__UpperCamelCase      :      Union[str, Any]     						=						{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

__UpperCamelCase      :      int     						=						{
    """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"""
        ),
    },
}

__UpperCamelCase      :      List[str]     						=						{
    """google/bigbird-roberta-base""": 4096,
    """google/bigbird-roberta-large""": 4096,
    """google/bigbird-base-trivia-itc""": 4096,
}


__UpperCamelCase      :      Tuple     						=						"""▁"""


class        __UpperCamelCase    (     __a   ):
	__snake_case	:Optional[int]   =       VOCAB_FILES_NAMES
	__snake_case	:List[str]   =       PRETRAINED_VOCAB_FILES_MAP
	__snake_case	:Dict   =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__snake_case	:int   =       BigBirdTokenizer
	__snake_case	:List[Any]   =       ["input_ids", "attention_mask"]
	__snake_case	:List[int]   =       []







	def __init__(  self      :							int       ,				_lowerCAmelCase      :							Optional[Any]=None       ,				_lowerCAmelCase      :							List[str]=None       ,				_lowerCAmelCase      :							str="<unk>"       ,				_lowerCAmelCase      :							int="<s>"       ,				_lowerCAmelCase      :							Tuple="</s>"       ,				_lowerCAmelCase      :							Dict="<pad>"       ,				_lowerCAmelCase      :							Any="[SEP]"       ,				_lowerCAmelCase      :							Dict="[MASK]"       ,				_lowerCAmelCase      :							Optional[int]="[CLS]"       ,				**_lowerCAmelCase      :							Tuple       ,				)		-> int:
		"""simple docstring"""







		__lowercase             =  AddedToken(lowerCAmelCase_       ,				lstrip=lowerCAmelCase_       ,				rstrip=lowerCAmelCase_			) if isinstance(lowerCAmelCase_       ,				lowerCAmelCase_			) else bos_token
		__lowercase             =  AddedToken(lowerCAmelCase_       ,				lstrip=lowerCAmelCase_       ,				rstrip=lowerCAmelCase_			) if isinstance(lowerCAmelCase_       ,				lowerCAmelCase_			) else eos_token
		__lowercase             =  AddedToken(lowerCAmelCase_       ,				lstrip=lowerCAmelCase_       ,				rstrip=lowerCAmelCase_			) if isinstance(lowerCAmelCase_       ,				lowerCAmelCase_			) else unk_token
		__lowercase             =  AddedToken(lowerCAmelCase_       ,				lstrip=lowerCAmelCase_       ,				rstrip=lowerCAmelCase_			) if isinstance(lowerCAmelCase_       ,				lowerCAmelCase_			) else pad_token
		__lowercase             =  AddedToken(lowerCAmelCase_       ,				lstrip=lowerCAmelCase_       ,				rstrip=lowerCAmelCase_			) if isinstance(lowerCAmelCase_       ,				lowerCAmelCase_			) else cls_token
		__lowercase             =  AddedToken(lowerCAmelCase_       ,				lstrip=lowerCAmelCase_       ,				rstrip=lowerCAmelCase_			) if isinstance(lowerCAmelCase_       ,				lowerCAmelCase_			) else sep_token

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

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

		__lowercase             =  vocab_file
		__lowercase             =  False if not self.vocab_file else True







	def  _a   (  self      :							Optional[int]       ,				_lowerCAmelCase      :							str       ,				_lowerCAmelCase      :							int = None			)		-> List[int]:
		"""simple docstring"""







		__lowercase             =  [self.sep_token_id]
		__lowercase             =  [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  _a   (  self      :							Optional[Any]       ,				_lowerCAmelCase      :							Optional[int]       ,				_lowerCAmelCase      :							Any = None       ,				_lowerCAmelCase      :							Optional[Any] = 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 None:
			return [1] + ([0] * len(lowerCAmelCase_			)) + [1]
		return [1] + ([0] * len(lowerCAmelCase_			)) + [1] + ([0] * len(lowerCAmelCase_			)) + [1]







	def  _a   (  self      :							Optional[int]       ,				_lowerCAmelCase      :							List[str]       ,				_lowerCAmelCase      :							List[str] = None			)		-> List[int]:
		"""simple docstring"""







		__lowercase             =  [self.sep_token_id]
		__lowercase             =  [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  _a   (  self      :							str       ,				_lowerCAmelCase      :							str       ,				_lowerCAmelCase      :							Optional[Any] = None			)		-> Tuple[str]:
		"""simple docstring"""







		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(lowerCAmelCase_			):
			logger.error(F'Vocabulary path ({save_directory}) should be a directory'			)
			return
		__lowercase             =  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,)














def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	if not isinstance(lowerCamelCase				,  lowerCamelCase					):
		raise ValueError("""check_bouncy() accepts only integer arguments"""					)
	__lowercase             =  str(lowerCamelCase					)
	__lowercase             =  """""".join(sorted(lowerCamelCase					)					)
	return sorted_str_n != str_n and sorted_str_n[::-1] != str_n





def 				snake_case  (     lowerCamelCase = 99					):




	'''simple docstring'''







	if not 0 < percent < 100:
		raise ValueError("""solution() only accepts values from 0 to 100"""					)
	__lowercase             =  0
	__lowercase             =  1

	while True:
		if check_bouncy(lowerCamelCase					):
			bouncy_num += 1
		if (bouncy_num / num) * 100 >= percent:
			return num
		num += 1


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

						testmod()
						print(F'''{solution(99)}''')

