


'''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_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''': 512,
    '''YituTech/conv-bert-medium-small''': 512,
    '''YituTech/conv-bert-small''': 512,
}


__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 						a__							(				a__    ):





							'''simple docstring'''






							lowercase__     :  List[Any]      		= VOCAB_FILES_NAMES
							lowercase__     :  Optional[Any]      		= PRETRAINED_VOCAB_FILES_MAP
							lowercase__     :  Optional[int]      		= PRETRAINED_INIT_CONFIGURATION
							lowercase__     :  List[str]      		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__     :  Union[str, Any]      		= ConvBertTokenizer







							def __init__(						self   ,       lowerCamelCase_=None   ,       lowerCamelCase_=None   ,       lowerCamelCase_=True   ,       lowerCamelCase_="[UNK]"   ,       lowerCamelCase_="[SEP]"   ,       lowerCamelCase_="[PAD]"   ,       lowerCamelCase_="[CLS]"   ,       lowerCamelCase_="[MASK]"   ,       lowerCamelCase_=True   ,       lowerCamelCase_=None   ,       **lowerCamelCase_   ,       )			->				Dict:
														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_   ,       )

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

														lowerCAmelCase__			  =      do_lower_case







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_   ,       lowerCamelCase_=None  )			->				Optional[Any]:
														lowerCAmelCase__			  =      [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   ,       lowerCamelCase_   ,       lowerCamelCase_ = None  )			->				List[int]:
														lowerCAmelCase__			  =      [self.sep_token_id]
														lowerCAmelCase__			  =      [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   ,       lowerCamelCase_   ,       lowerCamelCase_ = None  )			->				Tuple[str]:
														lowerCAmelCase__			  =      self._tokenizer.model.save(lowerCamelCase_   ,       name=lowerCamelCase_  )
														return tuple(lowerCamelCase_  )



from __future__ import annotations

from typing import Any







class 						_snake_case    ( _snake_case				):
 pass







class 						_snake_case    :




 def __init__(						self   ,    _lowerCamelCase       ):
       a		:Any									=			data
       a		:Node | None									=			None




 def __iter__(						self       ):
       a		:Dict									=			self
       a		:Optional[int]									=			[]
       while node:
             if node in visited:
                   raise ContainsLoopError
             visited.append(_lowerCamelCase       )
             yield node.data
             a		:str									=			node.next_node




 @property
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       try:
             list(self       )
             return False
       except ContainsLoopError:
             return True


if __name__ == "__main__":
     snake_case							:       int										=	Node(1)
     snake_case							:       int										=	Node(2)
     snake_case							:       Optional[int]										=	Node(3)
     snake_case							:       List[str]										=	Node(4)
     print(root_node.has_loop)  # False
     snake_case							:       Optional[Any]										=	root_node.next_node
     print(root_node.has_loop)  # True

     snake_case							:       Dict										=	Node(5)
     snake_case							:       List[Any]										=	Node(6)
     snake_case							:       Optional[int]										=	Node(5)
     snake_case							:       Union[str, Any]										=	Node(6)
     print(root_node.has_loop)  # False

     snake_case							:       Tuple										=	Node(1)
     print(root_node.has_loop)  # False





