




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


a__		    =    logging.get_logger(__name__)

a__		    =    {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

a__		    =    {
    '''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'''
        ),
    },
}

a__		    =    {
    '''microsoft/layoutlm-base-uncased''': 512,
    '''microsoft/layoutlm-large-uncased''': 512,
}

a__		    =    {
    '''microsoft/layoutlm-base-uncased''': {'''do_lower_case''': True},
    '''microsoft/layoutlm-large-uncased''': {'''do_lower_case''': True},
}


class       SCREAMING_SNAKE_CASE_							(					_UpperCamelCase      ):



 """simple docstring"""


 __magic_name__      :					Union[str, Any]			  =		VOCAB_FILES_NAMES
 __magic_name__      :					int			  =		PRETRAINED_VOCAB_FILES_MAP
 __magic_name__      :					Tuple			  =		PRETRAINED_INIT_CONFIGURATION
 __magic_name__      :					Optional[int]			  =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __magic_name__      :					str			  =		LayoutLMTokenizer






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







      """simple docstring"""







      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				,    )

      __UpperCamelCase				:  Any								=			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
      ):
           __UpperCamelCase				:  Tuple								=			getattr(lowerCAmelCase				,    normalizer_state.pop("""type"""  )  )
           __UpperCamelCase				:  str								=			do_lower_case
           __UpperCamelCase				:  Tuple								=			strip_accents
           __UpperCamelCase				:  Dict								=			tokenize_chinese_chars
           __UpperCamelCase				:  int								=			normalizer_class(**lowerCAmelCase  )

      __UpperCamelCase				:  Any								=			do_lower_case






 def 				lowerCamelCase__    (				self		:	Optional[Any]				,    lowerCAmelCase		:	str				,    lowerCAmelCase		:	Optional[Any]=None  )  ->					Union[str, Any]:







      """simple docstring"""







      __UpperCamelCase				:  Optional[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 				lowerCamelCase__    (				self		:	List[str]				,    lowerCAmelCase		:	List[int]				,    lowerCAmelCase		:	Optional[List[int]] = None  )  ->					List[int]:







      """simple docstring"""







      __UpperCamelCase				:  str								=			[self.sep_token_id]
      __UpperCamelCase				:  Optional[Any]								=			[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 				lowerCamelCase__    (				self		:	List[str]				,    lowerCAmelCase		:	str				,    lowerCAmelCase		:	Optional[str] = None  )  ->					Tuple[str]:







      """simple docstring"""







      __UpperCamelCase				:  List[Any]								=			self._tokenizer.model.save(lowerCAmelCase				,    name=lowerCAmelCase  )
      return tuple(lowerCAmelCase  )












import os





def 							A__   ()    ->	int:
					__UpperCamelCase				:  int								=			os.path.dirname(os.path.realpath(snake_case							)							)
					__UpperCamelCase				:  List[str]								=			os.path.join(snake_case		,  """triangle.txt"""							)

					with open(snake_case							) as in_file:
										__UpperCamelCase				:  Optional[Any]								=			[[int(snake_case							) for i in line.split()] for line in in_file]

					while len(snake_case							) != 1:
										__UpperCamelCase				:  Union[str, Any]								=			triangle.pop()
										__UpperCamelCase				:  List[str]								=			triangle[-1]
										for j in range(len(snake_case							) - 1							):
															curr_row[j] += max(last_row[j]		,  last_row[j + 1]							)
					return triangle[0][0]


if __name__ == "__main__":
	print(solution())






