



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


UpperCAmelCase_		 =					logging.get_logger(__name__)

UpperCAmelCase_		 =					{"""vocab_file""": """vocab.txt"""}

UpperCAmelCase_		 =					{
    """vocab_file""": {
        """YituTech/conv-bert-base""": """https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt""",
        """YituTech/conv-bert-medium-small""": (
            """https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt"""
        ),
        """YituTech/conv-bert-small""": """https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt""",
    }
}

UpperCAmelCase_		 =					{
    """YituTech/conv-bert-base""": 5_1_2,
    """YituTech/conv-bert-medium-small""": 5_1_2,
    """YituTech/conv-bert-small""": 5_1_2,
}


UpperCAmelCase_		 =					{
    """YituTech/conv-bert-base""": {"""do_lower_case""": True},
    """YituTech/conv-bert-medium-small""": {"""do_lower_case""": True},
    """YituTech/conv-bert-small""": {"""do_lower_case""": True},
}


class 	lowerCamelCase__	(       _A):



 """simple docstring"""

 a__					: int =  VOCAB_FILES_NAMES
 a__					: List[str] =  PRETRAINED_VOCAB_FILES_MAP
 a__					: Optional[Any] =  PRETRAINED_INIT_CONFIGURATION
 a__					: str =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 a__					: int =  ConvBertTokenizer

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

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

    _A      =       do_lower_case

 def     snake_case_      (    self					:					List[str]			,						__lowerCAmelCase					:					Any			,						__lowerCAmelCase					:					Any=None      )   ->	List[str]:
    _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     snake_case_      (    self					:					Any			,						__lowerCAmelCase					:					List[int]			,						__lowerCAmelCase					:					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     snake_case_      (    self					:					str			,						__lowerCAmelCase					:					str			,						__lowerCAmelCase					:					Optional[str] = None      )   ->	Tuple[str]:
    _A      =       self._tokenizer.model.save(__lowerCAmelCase			,						name=__lowerCAmelCase      )
    return tuple(__lowerCAmelCase      )








UpperCAmelCase_		 =					0  # The first color of the flag.
UpperCAmelCase_		 =					1  # The second color of the flag.
UpperCAmelCase_		 =					2  # The third color of the flag.
UpperCAmelCase_		 =					(red, white, blue)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:list				)  ->     list:
   if not sequence:
      return []
   if len(_snake_case				) == 1:
      return list(_snake_case				)
   _A      =       0
   _A      =       len(_snake_case				) - 1
   _A      =       0
   while mid <= high:
      if sequence[mid] == colors[0]:
         _A  ,    _A      =       sequence[mid], sequence[low]
         low += 1
         mid += 1
      elif sequence[mid] == colors[1]:
         mid += 1
      elif sequence[mid] == colors[2]:
         _A  ,    _A      =       sequence[high], sequence[mid]
         high -= 1
      else:
         _A      =       F'''The elements inside the sequence must contains only {colors} values'''
         raise ValueError(_snake_case				)
   return sequence


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   UpperCAmelCase_		 =					input("""Enter numbers separated by commas:\n""").strip()
   UpperCAmelCase_		 =					[int(item.strip()) for item in user_input.split(""",""")]
   print(f'{dutch_national_flag_sort(unsorted)}')



