




'''simple docstring'''



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer


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

lowerCamelCase_			=						{
    'vocab_file': {
        'google/electra-small-generator': (
            'https://huggingface.co/google/electra-small-generator/resolve/main/vocab.txt'
        ),
        'google/electra-base-generator': 'https://huggingface.co/google/electra-base-generator/resolve/main/vocab.txt',
        'google/electra-large-generator': (
            'https://huggingface.co/google/electra-large-generator/resolve/main/vocab.txt'
        ),
        'google/electra-small-discriminator': (
            'https://huggingface.co/google/electra-small-discriminator/resolve/main/vocab.txt'
        ),
        'google/electra-base-discriminator': (
            'https://huggingface.co/google/electra-base-discriminator/resolve/main/vocab.txt'
        ),
        'google/electra-large-discriminator': (
            'https://huggingface.co/google/electra-large-discriminator/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'google/electra-small-generator': (
            'https://huggingface.co/google/electra-small-generator/resolve/main/tokenizer.json'
        ),
        'google/electra-base-generator': (
            'https://huggingface.co/google/electra-base-generator/resolve/main/tokenizer.json'
        ),
        'google/electra-large-generator': (
            'https://huggingface.co/google/electra-large-generator/resolve/main/tokenizer.json'
        ),
        'google/electra-small-discriminator': (
            'https://huggingface.co/google/electra-small-discriminator/resolve/main/tokenizer.json'
        ),
        'google/electra-base-discriminator': (
            'https://huggingface.co/google/electra-base-discriminator/resolve/main/tokenizer.json'
        ),
        'google/electra-large-discriminator': (
            'https://huggingface.co/google/electra-large-discriminator/resolve/main/tokenizer.json'
        ),
    },
}

lowerCamelCase_			=						{
    'google/electra-small-generator': 5_12,
    'google/electra-base-generator': 5_12,
    'google/electra-large-generator': 5_12,
    'google/electra-small-discriminator': 5_12,
    'google/electra-base-discriminator': 5_12,
    'google/electra-large-discriminator': 5_12,
}

lowerCamelCase_			=						{
    'google/electra-small-generator': {'do_lower_case': True},
    'google/electra-base-generator': {'do_lower_case': True},
    'google/electra-large-generator': {'do_lower_case': True},
    'google/electra-small-discriminator': {'do_lower_case': True},
    'google/electra-base-discriminator': {'do_lower_case': True},
    'google/electra-large-discriminator': {'do_lower_case': True},
}







class 		lowercase_   (			A       ):


   """simple docstring"""

   lowerCamelCase_      =						VOCAB_FILES_NAMES
   lowerCamelCase_      =						PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase_      =						PRETRAINED_INIT_CONFIGURATION
   lowerCamelCase_      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase_      =						ElectraTokenizer



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

      """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  ,				)

      _SCREAMING_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
      ):
         _SCREAMING_SNAKE_CASE	=				getattr(__lowerCamelCase  ,				normalizer_state.pop("type"   )   )
         _SCREAMING_SNAKE_CASE	=				do_lower_case
         _SCREAMING_SNAKE_CASE	=				strip_accents
         _SCREAMING_SNAKE_CASE	=				tokenize_chinese_chars
         _SCREAMING_SNAKE_CASE	=				normalizer_class(**__lowerCamelCase   )

      _SCREAMING_SNAKE_CASE	=				do_lower_case



   def 							lowerCAmelCase_      (   self :     Union[str, Any]  ,				__lowerCamelCase :     Optional[Any]  ,				__lowerCamelCase :     Any=None   ):

      """simple docstring"""
      _SCREAMING_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 							lowerCAmelCase_      (   self :     Dict  ,				__lowerCamelCase :     List[int]  ,				__lowerCamelCase :     Optional[List[int]] = None   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[self.sep_token_id]
      _SCREAMING_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 							lowerCAmelCase_      (   self :     Any  ,				__lowerCamelCase :     str  ,				__lowerCamelCase :     Optional[str] = None   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self._tokenizer.model.save(__lowerCamelCase  ,				name=__lowerCamelCase   )
      return tuple(__lowerCamelCase   )







'''simple docstring'''



def 			SCREAMING_SNAKE_CASE_			(							__A    :			str	,					__A    :			str  )			->			str:
   _SCREAMING_SNAKE_CASE	=				len(__A  )
   _SCREAMING_SNAKE_CASE	=				len(__A  )
   _SCREAMING_SNAKE_CASE	=				(
       first_str_length if first_str_length > second_str_length else second_str_length
   )
   _SCREAMING_SNAKE_CASE	=				[]
   for char_count in range(__A  ):
      if char_count < first_str_length:
         output_list.append(first_str[char_count]  )
      if char_count < second_str_length:
         output_list.append(second_str[char_count]  )
   return "".join(__A  )


if __name__ == "__main__":
 print(alternative_string_arrange('AB', 'XYZ'), end=' ')

