
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  : Any						   =							logging.get_logger(__name__)

lowercase  : str						   =							{"""vocab_file""": """vocab.txt"""}

lowercase  : List[str]						   =							{
    """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  : List[Any]						   =							{
    """YituTech/conv-bert-base""": 512,
    """YituTech/conv-bert-medium-small""": 512,
    """YituTech/conv-bert-small""": 512,
}


lowercase  : Union[str, Any]						   =							{
    """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 __snake_case		(				__lowerCamelCase					):
    _a		:						int=    VOCAB_FILES_NAMES
    _a		:						int=    PRETRAINED_VOCAB_FILES_MAP
    _a		:						int=    PRETRAINED_INIT_CONFIGURATION
    _a		:						Any=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _a		:						Dict=    ConvBertTokenizer
    def __init__(  self		,snake_case=None		,snake_case=None		,snake_case=True		,snake_case="[UNK]"		,snake_case="[SEP]"		,snake_case="[PAD]"		,snake_case="[CLS]"		,snake_case="[MASK]"		,snake_case=True		,snake_case=None		,**snake_case		,):



           '''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_		,)

           lowercase							:					Optional[int]	     =				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
           ):
                  lowercase							:					List[Any]	     =				getattr(UpperCamelCase_		,normalizer_state.pop("""type"""				)				)
                  lowercase							:					str	     =				do_lower_case
                  lowercase							:					Tuple	     =				strip_accents
                  lowercase							:					Dict	     =				tokenize_chinese_chars
                  lowercase							:					int	     =				normalizer_class(**UpperCamelCase_				)

           lowercase							:					str	     =				do_lower_case
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case		,snake_case=None				):



           '''simple docstring'''







           lowercase							:					int	     =				[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		,snake_case		,snake_case = None				):



           '''simple docstring'''







           lowercase							:					int	     =				[self.sep_token_id]
           lowercase							:					int	     =				[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		,snake_case		,snake_case = None				):



           '''simple docstring'''







           lowercase							:					int	     =				self._tokenizer.model.save(UpperCamelCase_		,name=UpperCamelCase_				)
           return tuple(UpperCamelCase_				)


def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   int:

       def count_of_possible_combinations(SCREAMING_SNAKE_CASE__    ) -> int:
              if target < 0:
                     return 0
              if target == 0:
                     return 1
              return sum(count_of_possible_combinations(target - item    ) for item in array    )

       return count_of_possible_combinations(SCREAMING_SNAKE_CASE__    )







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   int:

       def count_of_possible_combinations_with_dp_array(
           SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    ) -> int:
              if target < 0:
                     return 0
              if target == 0:
                     return 1
              if dp_array[target] != -1:
                     return dp_array[target]
              lowercase							:					Any	     =				sum(
                  count_of_possible_combinations_with_dp_array(target - item ,     SCREAMING_SNAKE_CASE__    )
                  for item in array    )
              lowercase							:					Optional[int]	     =				answer
              return answer

       lowercase							:					int	     =				[-1] * (target + 1)
       return count_of_possible_combinations_with_dp_array(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   int:
       lowercase							:					str	     =				[0] * (target + 1)
       lowercase							:					Tuple	     =				1

       for i in range(1 ,     target + 1    ):
              for j in range(SCREAMING_SNAKE_CASE__    ):
                     if i - array[j] >= 0:
                            dp_array[i] += dp_array[i - array[j]]

       return dp_array[target]


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  lowercase  : Any						   =							3
  lowercase  : Optional[Any]						   =							5
  lowercase  : Tuple						   =							[1, 2, 5]
  print(combination_sum_iv(n, array, target))
