
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_layoutlm import LayoutLMTokenizer


__lowerCamelCase							= logging.get_logger(__name__)

__lowerCamelCase							= {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

__lowerCamelCase							= {
    """vocab_file""": {
        """microsoft/layoutlm-base-uncased""": (
            """https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/vocab.txt"""
        ),
        """microsoft/layoutlm-large-uncased""": (
            """https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """microsoft/layoutlm-base-uncased""": (
            """https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/tokenizer.json"""
        ),
        """microsoft/layoutlm-large-uncased""": (
            """https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/tokenizer.json"""
        ),
    },
}

__lowerCamelCase							= {
    """microsoft/layoutlm-base-uncased""": 5_12,
    """microsoft/layoutlm-large-uncased""": 5_12,
}

__lowerCamelCase							= {
    """microsoft/layoutlm-base-uncased""": {"""do_lower_case""": True},
    """microsoft/layoutlm-large-uncased""": {"""do_lower_case""": True},
}






class 						UpperCAmelCase	(		A_				):
   A__      :	str		  =  VOCAB_FILES_NAMES
   A__      :	Optional[int]		  =  PRETRAINED_VOCAB_FILES_MAP
   A__      :	Dict		  =  PRETRAINED_INIT_CONFIGURATION
   A__      :	str		  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A__      :	Optional[int]		  =  LayoutLMTokenizer



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


          '''simple docstring'''


          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__					,		)

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

          snake_case :     Dict           =   do_lower_case



   def        _SCREAMING_SNAKE_CASE     (self	:      Any					,		snake_case__	:      Optional[int]					,		snake_case__	:      Dict=None				)	->			List[Any]:


          '''simple docstring'''


          snake_case :     List[str]           =   [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	:      List[Any]					,		snake_case__	:      List[int]					,		snake_case__	:      Optional[List[int]] = None				)	->			List[int]:


          '''simple docstring'''


          snake_case :     List[Any]           =   [self.sep_token_id]
          snake_case :     str           =   [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	:      Tuple					,		snake_case__	:      str					,		snake_case__	:      Optional[str] = None				)	->			Tuple[str]:


          '''simple docstring'''


          snake_case :     int           =   self._tokenizer.model.save(snake_case__					,		name=snake_case__				)
          return tuple(snake_case__				)







def     UpperCamelCase      (					__lowerCamelCase  :				list       ,      __lowerCamelCase  :				list       ,      __lowerCamelCase  :				list       ,      __lowerCamelCase  :				int       ,      __lowerCamelCase  :				int					):
       if target == 0:
              answer.append(path.copy()					)
       else:
              for index in range(__lowerCamelCase       ,      len(__lowerCamelCase					)					):
                     if target >= candidates[index]:
                            path.append(candidates[index]					)
                            backtrack(__lowerCamelCase       ,      __lowerCamelCase       ,      __lowerCamelCase       ,      target - candidates[index]       ,      __lowerCamelCase					)
                            path.pop(len(__lowerCamelCase					) - 1					)


def     UpperCamelCase      (					__lowerCamelCase  :				list       ,      __lowerCamelCase  :				int					):
       snake_case :     Optional[Any]           =   []  # type: list[int]
       snake_case :     Tuple           =   []  # type: list[int]
       backtrack(__lowerCamelCase       ,      __lowerCamelCase       ,      __lowerCamelCase       ,      __lowerCamelCase       ,      0					)
       return answer


def     UpperCamelCase      (					):
       print(combination_sum([-8, 2.3, 0]       ,      1					)					)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()





