


'''simple docstring'''

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


lowerCamelCase							:   Any  						=	logging.get_logger(__name__)

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

lowerCamelCase							:   Union[str, Any]  						=	{
    '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'
    },
}

lowerCamelCase							:   Tuple  						=	{'mobilebert-uncased': 512}


lowerCamelCase							:   int  						=	{}
class   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      lowerCAmelCase__					:     Dict  					=							VOCAB_FILES_NAMES
      lowerCAmelCase__					:     Tuple  					=							PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__					:     Optional[int]  					=							PRETRAINED_INIT_CONFIGURATION
      lowerCAmelCase__					:     Tuple  					=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__					:     int  					=							MobileBertTokenizer



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

             '''simple docstring'''







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

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

             lowercase__      			= do_lower_case



      def       UpperCamelCase__		(self    :    str   ,						UpperCamelCase    :    Tuple   ,						UpperCamelCase    :    Any=None ):

             '''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       UpperCamelCase__		(self    :    Any   ,						UpperCamelCase    :    List[int]   ,						UpperCamelCase    :    Optional[List[int]] = None ):

             '''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       UpperCamelCase__		(self    :    int   ,						UpperCamelCase    :    str   ,						UpperCamelCase    :    Optional[str] = None ):

             '''simple docstring'''







             lowercase__      			= self._tokenizer.model.save(UpperCamelCase   ,						name=UpperCamelCase )
             return tuple(UpperCamelCase )





'''simple docstring'''

def 			__UpperCamelCase       (   UpperCAmelCase     ):
 lowercase__				:    List[str]  =					0
 while num > 0:
  digit_sum += num % 10
  num //= 10
 return digit_sum
def 			__UpperCamelCase       (   UpperCAmelCase = 100     ):
 lowercase__				:    Dict  =					1
 lowercase__				:    Optional[int]  =					2

 for i in range(2		,     max_n + 1     ):
  lowercase__				:    List[str]  =					pre_numerator
  lowercase__				:    Optional[Any]  =					2 * i // 3 if i % 3 == 0 else 1
  lowercase__				:    Union[str, Any]  =					cur_numerator
  lowercase__				:    int  =					e_cont * pre_numerator + temp

 return sum_digits(UpperCAmelCase     )


if __name__ == "__main__":
  print(F'{solution() = }')

