


'''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_layoutlm import LayoutLMTokenizer


UpperCAmelCase__      =							logging.get_logger(__name__)

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

UpperCAmelCase__      =							{
    '''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'''
        ),
    },
}

UpperCAmelCase__      =							{
    '''microsoft/layoutlm-base-uncased''': 5_1_2,
    '''microsoft/layoutlm-large-uncased''': 5_1_2,
}

UpperCAmelCase__      =							{
    '''microsoft/layoutlm-base-uncased''': {'''do_lower_case''': True},
    '''microsoft/layoutlm-large-uncased''': {'''do_lower_case''': True},
}
class 	a__				(				a_      ):





			'''simple docstring'''

			A	:							Optional[Any]							= VOCAB_FILES_NAMES
			A	:							Tuple							= PRETRAINED_VOCAB_FILES_MAP
			A	:							int							= PRETRAINED_INIT_CONFIGURATION
			A	:							Any							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			A	:							List[str]							= LayoutLMTokenizer
			def __init__(     self       : Optional[Any] ,						lowerCAmelCase_       : Union[str, Any]=None ,						lowerCAmelCase_       : List[Any]=None ,						lowerCAmelCase_       : int=True ,						lowerCAmelCase_       : Optional[int]="[UNK]" ,						lowerCAmelCase_       : str="[SEP]" ,						lowerCAmelCase_       : str="[PAD]" ,						lowerCAmelCase_       : List[str]="[CLS]" ,						lowerCAmelCase_       : Union[str, Any]="[MASK]" ,						lowerCAmelCase_       : Dict=True ,						lowerCAmelCase_       : Any=None ,						**lowerCAmelCase_       : Union[str, Any] ,						)			->		Optional[Any]:
						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_ ,						)

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

						__A=  do_lower_case
			def 				lowerCAmelCase    (     self       : Tuple ,						lowerCAmelCase_       : Union[str, Any] ,						lowerCAmelCase_       : Any=None  )			->		int:
						__A=  [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       : str ,						lowerCAmelCase_       : List[int] ,						lowerCAmelCase_       : Optional[List[int]] = None  )			->		List[int]:
						__A=  [self.sep_token_id]
						__A=  [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]:
						__A=  self._tokenizer.model.save(lowerCAmelCase_ ,						name=lowerCAmelCase_  )
						return tuple(lowerCAmelCase_  )







'''simple docstring'''





UpperCAmelCase__      =							[[0, 1, 1], [0, 0, 1], [1, 0, 0]]
class 	a__				:





			'''simple docstring'''

			def __init__(     self       : Any ,						lowerCAmelCase_       : Optional[int]  )			->		Tuple:
						__A=  name
						__A=  []
						__A=  []
			def 				lowerCAmelCase    (     self       : Any ,						lowerCAmelCase_       : Dict  )			->		Any:
						self.inbound.append(lowerCAmelCase_  )
			def 				lowerCAmelCase    (     self       : str ,						lowerCAmelCase_       : Any  )			->		List[Any]:
						self.outbound.append(lowerCAmelCase_  )

			def __repr__(     self       : int  )			->		Union[str, Any]:
						return F"""<node={self.name} inbound={self.inbound} outbound={self.outbound}>"""






def 	UpperCAmelCase__(							_SCREAMING_SNAKE_CASE				:   Any,_SCREAMING_SNAKE_CASE				:   Optional[int]=3,_SCREAMING_SNAKE_CASE				:   Dict=0.85   ):






			"""simple docstring"""




			__A=  {}
			for node in nodes:
						__A=  1

			__A=  {}
			for node in nodes:
						__A=  len(node.outbound   )

			for i in range(_SCREAMING_SNAKE_CASE   ):
						print(f"""======= Iteration {i + 1} ======="""   )
						for _, node in enumerate(_SCREAMING_SNAKE_CASE   ):
									__A=  (1 - d) + d * sum(
									    ranks[ib] / outbounds[ib] for ib in node.inbound   )
						print(_SCREAMING_SNAKE_CASE   )






def 	UpperCAmelCase__(							):






			"""simple docstring"""




			__A=  list(input('Enter Names of the Nodes: '   ).split()   )

			__A=  [Node(_SCREAMING_SNAKE_CASE   ) for name in names]

			for ri, row in enumerate(_SCREAMING_SNAKE_CASE   ):
						for ci, col in enumerate(_SCREAMING_SNAKE_CASE   ):
									if col == 1:
												nodes[ci].add_inbound(names[ri]   )
												nodes[ri].add_outbound(names[ci]   )

			print('======= Nodes ======='   )
			for node in nodes:
						print(_SCREAMING_SNAKE_CASE   )

			page_rank(_SCREAMING_SNAKE_CASE   )


if __name__ == "__main__":
					main()



