



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


lowercase_	       =			logging.get_logger(__name__)

lowercase_	       =			{'''vocab_file''': '''vocab.txt'''}

lowercase_	       =			{
    '''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''',
    }
}

lowercase_	       =			{
    '''YituTech/conv-bert-base''': 5_12,
    '''YituTech/conv-bert-medium-small''': 5_12,
    '''YituTech/conv-bert-small''': 5_12,
}


lowercase_	       =			{
    '''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 (     SCREAMING_SNAKE_CASE				):
	SCREAMING_SNAKE_CASE       =       VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE       =       PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE       =       PRETRAINED_INIT_CONFIGURATION
	SCREAMING_SNAKE_CASE       =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE       =       ConvBertTokenizer



	def __init__(						self							:    List[str]				,	snake_case_							:    List[Any]=None				,	snake_case_							:    Optional[Any]=None				,	snake_case_							:    str=True				,	snake_case_							:    Optional[Any]="[UNK]"				,	snake_case_							:    str="[SEP]"				,	snake_case_							:    Tuple="[PAD]"				,	snake_case_							:    Optional[int]="[CLS]"				,	snake_case_							:    Optional[int]="[MASK]"				,	snake_case_							:    int=True				,	snake_case_							:    List[Any]=None				,	**snake_case_							:    Union[str, Any]				,	)->							List[str]:
						super().__init__(
						    snake_case_				,	tokenizer_file=snake_case_				,	do_lower_case=snake_case_				,	unk_token=snake_case_				,	sep_token=snake_case_				,	pad_token=snake_case_				,	cls_token=snake_case_				,	mask_token=snake_case_				,	tokenize_chinese_chars=snake_case_				,	strip_accents=snake_case_				,	**snake_case_				,	)

						__lowerCAmelCase	   =json.loads(self.backend_tokenizer.normalizer.__getstate__())
						if (
						    normalizer_state.get("""lowercase"""				,	snake_case_) != do_lower_case
						    or normalizer_state.get("""strip_accents"""				,	snake_case_) != strip_accents
						    or normalizer_state.get("""handle_chinese_chars"""				,	snake_case_) != tokenize_chinese_chars
						):
											__lowerCAmelCase	   =getattr(snake_case_				,	normalizer_state.pop("""type"""))
											__lowerCAmelCase	   =do_lower_case
											__lowerCAmelCase	   =strip_accents
											__lowerCAmelCase	   =tokenize_chinese_chars
											__lowerCAmelCase	   =normalizer_class(**snake_case_)

						__lowerCAmelCase	   =do_lower_case



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









def 					__lowerCAmelCase		(  __lowerCamelCase	:    list[int]	)  ->						int:
					if not numbers:
										return 0

					if not isinstance(__lowerCamelCase				,   (list, tuple)	) or not all(
					    isinstance(__lowerCamelCase				,   __lowerCamelCase	) for number in numbers	):
										raise ValueError("""numbers must be an iterable of integers"""	)

					__lowerCAmelCase	   =__lowerCAmelCase	   =__lowerCAmelCase	   =numbers[0]

					for i in range(1				,   len(__lowerCamelCase	)	):
										# update the maximum and minimum subarray products
										__lowerCAmelCase	   =numbers[i]
										if number < 0:
															__lowerCAmelCase   ,	__lowerCAmelCase	   =min_till_now, max_till_now
										__lowerCAmelCase	   =max(__lowerCamelCase				,   max_till_now * number	)
										__lowerCAmelCase	   =min(__lowerCamelCase				,   min_till_now * number	)

										# update the maximum product found till now
										__lowerCAmelCase	   =max(__lowerCamelCase				,   __lowerCamelCase	)

					return max_prod




