




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	:		Optional[int]							       =   logging.get_logger(__name__)

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

_lowerCamelCase	:		Dict							       =   {
    """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	:		Optional[int]							       =   {"""mobilebert-uncased""": 512}


_lowerCamelCase	:		str							       =   {}


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      VOCAB_FILES_NAMES
    UpperCAmelCase__							  =      PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase__							  =      PRETRAINED_INIT_CONFIGURATION
    UpperCAmelCase__							  =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase__							  =      MobileBertTokenizer


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





           '''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__					, )

           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        SCREAMING_SNAKE_CASE							(			self      :	Union[str, Any]					, UpperCAmelCase__      :	Any					, UpperCAmelCase__      :	Optional[Any]=None)						->Optional[Any]:





           '''simple docstring'''

           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        SCREAMING_SNAKE_CASE							(			self      :	str					, UpperCAmelCase__      :	List[int]					, UpperCAmelCase__      :	Optional[List[int]] = None)						->List[int]:





           '''simple docstring'''

           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        SCREAMING_SNAKE_CASE							(			self      :	Dict					, UpperCAmelCase__      :	str					, UpperCAmelCase__      :	Optional[str] = None)						->Tuple[str]:





           '''simple docstring'''

           A__       =    self._tokenizer.model.save(UpperCAmelCase__					, name=UpperCAmelCase__)
           return tuple(UpperCAmelCase__)








from __future__ import annotations







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_						)   ->       tuple[float, list[float]]:



       """simple docstring"""

       A__       =    list(range(len(lowercase_						)						)						)
       A__       =    [v / w for v, w in zip(lowercase_ ,				lowercase_						)]
       index.sort(key=lambda lowercase_						: ratio[i] ,				reverse=lowercase_						)

       A__       =    0
       A__       =    [0] * len(lowercase_						)
       for i in index:
              if weight[i] <= capacity:
                     A__       =    1
                     max_value += value[i]
                     capacity -= weight[i]
              else:
                     A__       =    capacity / weight[i]
                     max_value += value[i] * capacity / weight[i]
                     break

       return max_value, fractions


if __name__ == "__main__":
  import doctest

  doctest.testmod()


