'''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


_UpperCAmelCase    :     Dict         =       logging.get_logger(__name__)

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

_UpperCAmelCase    :     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'''
    },
}

_UpperCAmelCase    :     Union[str, Any]         =       {'''mobilebert-uncased''': 5_12}


_UpperCAmelCase    :     Tuple         =       {}







class lowercase_       (		_UpperCamelCase			):







   """simple docstring"""

   __lowerCAmelCase         =   VOCAB_FILES_NAMES
   __lowerCAmelCase         =   PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase         =   PRETRAINED_INIT_CONFIGURATION
   __lowerCAmelCase         =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase         =   MobileBertTokenizer
   def __init__(      self      :			int, UpperCamelCase__      :			Tuple=None, UpperCamelCase__      :			Tuple=None, UpperCamelCase__      :			Tuple=True, UpperCamelCase__      :			str="[UNK]", UpperCamelCase__      :			Optional[int]="[SEP]", UpperCamelCase__      :			Union[str, Any]="[PAD]", UpperCamelCase__      :			Dict="[CLS]", UpperCamelCase__      :			Optional[Any]="[MASK]", UpperCamelCase__      :			Dict=True, UpperCamelCase__      :			Tuple=None, **UpperCamelCase__      :			Any, )  ->			Union[str, Any]:
        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__, )

        _A    		=  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
        ):
             _A    		=  getattr(UpperCamelCase__, normalizer_state.pop('type'     )     )
             _A    		=  do_lower_case
             _A    		=  strip_accents
             _A    		=  tokenize_chinese_chars
             _A    		=  normalizer_class(**UpperCamelCase__     )

        _A    		=  do_lower_case
   def 	__UpperCAmelCase   (      self      :			Tuple, UpperCamelCase__      :			Optional[int], UpperCamelCase__      :			Optional[int]=None     )  ->			Dict:
        _A    		=  [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      :			Optional[int], UpperCamelCase__      :			List[int], UpperCamelCase__      :			Optional[List[int]] = None     )  ->			List[int]:
        _A    		=  [self.sep_token_id]
        _A    		=  [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      :			List[Any], UpperCamelCase__      :			str, UpperCamelCase__      :			Optional[str] = None     )  ->			Tuple[str]:
        _A    		=  self._tokenizer.model.save(UpperCamelCase__, name=UpperCamelCase__     )
        return tuple(UpperCamelCase__     )




'''simple docstring'''






def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			str   ,		__snake_case							:			str   ,		__snake_case							:			List[Any]=False				):

     if isinstance(__snake_case   ,		__snake_case				) and isinstance(__snake_case   ,		__snake_case				):
          _A    		=  len(set_a.intersection(__snake_case				)				)

          if alternative_union:
               _A    		=  len(__snake_case				) + len(__snake_case				)
          else:
               _A    		=  len(set_a.union(__snake_case				)				)

          return intersection / union

     if isinstance(__snake_case   ,		(list, tuple)				) and isinstance(__snake_case   ,		(list, tuple)				):
          _A    		=  [element for element in set_a if element in set_b]

          if alternative_union:
               _A    		=  len(__snake_case				) + len(__snake_case				)
               return len(__snake_case				) / union
          else:
               _A    		=  set_a + [element for element in set_b if element not in set_a]
               return len(__snake_case				) / len(__snake_case				)

          return len(__snake_case				) / len(__snake_case				)
     return None


if __name__ == "__main__":
   _UpperCAmelCase    :     Optional[Any]         =       {'''a''', '''b''', '''c''', '''d''', '''e'''}
   _UpperCAmelCase    :     str         =       {'''c''', '''d''', '''e''', '''f''', '''h''', '''i'''}
   print(jaccard_similarity(set_a, set_b))



