






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


__UpperCamelCase      :      Dict     						=						logging.get_logger(__name__)

__UpperCamelCase      :      str     						=						{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

__UpperCamelCase      :      List[str]     						=						{
    """vocab_file""": {
        """yjernite/retribert-base-uncased""": (
            """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """yjernite/retribert-base-uncased""": (
            """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"""
        ),
    },
}

__UpperCamelCase      :      Optional[int]     						=						{
    """yjernite/retribert-base-uncased""": 512,
}


__UpperCamelCase      :      List[Any]     						=						{
    """yjernite/retribert-base-uncased""": {"""do_lower_case""": True},
}


class        __UpperCamelCase    (     _lowerCAmelCase   ):
	__snake_case	:Tuple   =       VOCAB_FILES_NAMES
	__snake_case	:int   =       PRETRAINED_VOCAB_FILES_MAP
	__snake_case	:Any   =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__snake_case	:List[Any]   =       PRETRAINED_INIT_CONFIGURATION
	__snake_case	:str   =       RetriBertTokenizer
	__snake_case	:Dict   =       ['input_ids', 'attention_mask']







	def __init__(  self      :							Tuple       ,				_lowerCAmelCase      :							Dict=None       ,				_lowerCAmelCase      :							Optional[int]=None       ,				_lowerCAmelCase      :							int=True       ,				_lowerCAmelCase      :							Union[str, Any]="[UNK]"       ,				_lowerCAmelCase      :							List[Any]="[SEP]"       ,				_lowerCAmelCase      :							Dict="[PAD]"       ,				_lowerCAmelCase      :							Optional[int]="[CLS]"       ,				_lowerCAmelCase      :							List[str]="[MASK]"       ,				_lowerCAmelCase      :							Any=True       ,				_lowerCAmelCase      :							Optional[int]=None       ,				**_lowerCAmelCase      :							Optional[int]       ,				)		-> List[Any]:
		"""simple docstring"""







		super().__init__(
		    _lowerCAmelCase       ,				tokenizer_file=_lowerCAmelCase       ,				do_lower_case=_lowerCAmelCase       ,				unk_token=_lowerCAmelCase       ,				sep_token=_lowerCAmelCase       ,				pad_token=_lowerCAmelCase       ,				cls_token=_lowerCAmelCase       ,				mask_token=_lowerCAmelCase       ,				tokenize_chinese_chars=_lowerCAmelCase       ,				strip_accents=_lowerCAmelCase       ,				**_lowerCAmelCase       ,				)

		__lowercase             =  json.loads(self.backend_tokenizer.normalizer.__getstate__()			)
		if (
		    normalizer_state.get("""lowercase"""       ,				_lowerCAmelCase			) != do_lower_case
		    or normalizer_state.get("""strip_accents"""       ,				_lowerCAmelCase			) != strip_accents
		    or normalizer_state.get("""handle_chinese_chars"""       ,				_lowerCAmelCase			) != tokenize_chinese_chars
		):
			__lowercase             =  getattr(_lowerCAmelCase       ,				normalizer_state.pop("""type"""			)			)
			__lowercase             =  do_lower_case
			__lowercase             =  strip_accents
			__lowercase             =  tokenize_chinese_chars
			__lowercase             =  normalizer_class(**_lowerCAmelCase			)

		__lowercase             =  do_lower_case







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







		__lowercase             =  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

		if token_ids_a:
			output += token_ids_a + [self.sep_token_id]

		return output







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







		__lowercase             =  self._tokenizer.model.save(_lowerCAmelCase       ,				name=_lowerCAmelCase			)
		return tuple(_lowerCAmelCase			)














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)}''')

