
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


__magic_name__            =  logging.get_logger(__name__)

__magic_name__            =  {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__magic_name__            =  {
    '''vocab_file''': {'''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'''},
    '''tokenizer_file''': {
        '''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'''
    },
}

__magic_name__            =  {'''mobilebert-uncased''': 512}


__magic_name__            =  {}




class 					_SCREAMING_SNAKE_CASE  (      __UpperCamelCase ):
      _A						:		Any    	=     VOCAB_FILES_NAMES
      _A						:		Union[str, Any]    	=     PRETRAINED_VOCAB_FILES_MAP
      _A						:		int    	=     PRETRAINED_INIT_CONFIGURATION
      _A						:		List[Any]    	=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _A						:		Dict    	=     MobileBertTokenizer
      def __init__(			self		,	lowerCamelCase=None		,	lowerCamelCase=None		,	lowerCamelCase=True		,	lowerCamelCase="[UNK]"		,	lowerCamelCase="[SEP]"		,	lowerCamelCase="[PAD]"		,	lowerCamelCase="[CLS]"		,	lowerCamelCase="[MASK]"		,	lowerCamelCase=True		,	lowerCamelCase=None		,	**lowerCamelCase		,	):
          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		,	)

          snake_case__						=				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
          ):
              snake_case__						=				getattr(lowerCamelCase		,	normalizer_state.pop("type" ) )
              snake_case__						=				do_lower_case
              snake_case__						=				strip_accents
              snake_case__						=				tokenize_chinese_chars
              snake_case__						=				normalizer_class(**lowerCamelCase )

          snake_case__						=				do_lower_case
      def A_			(			self		,	lowerCamelCase		,	lowerCamelCase=None ):
          snake_case__						=				[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		,	lowerCamelCase		,	lowerCamelCase = None ):
          snake_case__						=				[self.sep_token_id]
          snake_case__						=				[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		,	lowerCamelCase		,	lowerCamelCase = None ):
          snake_case__						=				self._tokenizer.model.save(lowerCamelCase		,	name=lowerCamelCase )
          return tuple(lowerCamelCase )





from __future__ import annotations

from fractions import Fraction





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    return (
        num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
    )





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    snake_case__						=				[]
    snake_case__						=				11
    snake_case__						=				int("1" + "0" * digit_len							)
    for num in range(__lowerCAmelCase    ,		__lowerCAmelCase							):
        while den <= 99:
            if (num != den) and (num % 10 == den // 10) and (den % 10 != 0):
                if is_digit_cancelling(__lowerCAmelCase    ,		__lowerCAmelCase							):
                    solutions.append(F"""{num}/{den}"""							)
            den += 1
        num += 1
        snake_case__						=				10
    return solutions





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase = 2							):
    snake_case__						=				1.0
    for fraction in fraction_list(__lowerCAmelCase							):
        snake_case__						=				Fraction(__lowerCAmelCase							)
        result *= frac.denominator / frac.numerator
    return int(__lowerCAmelCase							)


if __name__ == "__main__":
     print(solution())



