
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   :					Dict    =			logging.get_logger(__name__)

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

_UpperCAmelCase   :					Union[str, Any]    =			{
    '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   :					Any    =			{
    'microsoft/layoutlm-base-uncased': 512,
    'microsoft/layoutlm-large-uncased': 512,
}

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


class 							lowercase   (						_UpperCamelCase  ):
		__lowercase			:			str      	=							VOCAB_FILES_NAMES
		__lowercase			:			Tuple      	=							PRETRAINED_VOCAB_FILES_MAP
		__lowercase			:			Optional[Any]      	=							PRETRAINED_INIT_CONFIGURATION
		__lowercase			:			List[str]      	=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowercase			:			Tuple      	=							LayoutLMTokenizer



		def __init__(					self							, A_=None							, A_=None							, A_=True							, A_="[UNK]"							, A_="[SEP]"							, A_="[PAD]"							, A_="[CLS]"							, A_="[MASK]"							, A_=True							, A_=None							, **A_							, )    ->   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            =	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            =	getattr(__lowerCamelCase							, normalizer_state.pop('type'			)			)
						UpperCamelCase            =	do_lower_case
						UpperCamelCase            =	strip_accents
						UpperCamelCase            =	tokenize_chinese_chars
						UpperCamelCase            =	normalizer_class(**__lowerCamelCase			)

				UpperCamelCase            =	do_lower_case



		def __UpperCamelCase					(					self							, A_							, A_=None			)    ->   List[str]:
				"""simple docstring"""
				UpperCamelCase            =	[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							, A_							, A_ = None			)    ->   List[int]:
				"""simple docstring"""
				UpperCamelCase            =	[self.sep_token_id]
				UpperCamelCase            =	[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							, A_							, A_ = None			)    ->   Tuple[str]:
				"""simple docstring"""
				UpperCamelCase            =	self._tokenizer.model.save(__lowerCamelCase							, name=__lowerCamelCase			)
				return tuple(__lowerCamelCase			)






class        snake_case__				:
				"""simple docstring"""



				def __init__( self							:	List[str]   , __lowerCamelCase							:	int				)   ->	None:
							a       =     data
							a       =     42
							a       =     42




def      __magic_name__							(					A						:   Node  ):






			'''simple docstring'''







			a       =     0
			a       =     x




def      __magic_name__							(					A						:   Node,    A						:   Node  ):






			'''simple docstring'''







			a       ,						a       =     find_set(A  ), find_set(A  )
			if x == y:
						return

			elif x.rank > y.rank:
						a       =     x
			else:
						a       =     y
						if x.rank == y.rank:
									y.rank += 1




def      __magic_name__							(					A						:   Node  ):






			'''simple docstring'''







			if x != x.parent:
						a       =     find_set(x.parent  )
			return x.parent




def      __magic_name__							(					A						:   Node  ):






			'''simple docstring'''







			a       =     ({0, 1, 2}, {3, 4, 5})
			for s in sets:
						if node.data in s:
									return s
			a       =     F"""{node.data} is not in {sets}"""
			raise ValueError(A  )




def      __magic_name__							(					):






			'''simple docstring'''







			a       =     [Node(A  ) for i in range(6  )]
			for v in vertex:
						make_set(A  )

			union_set(vertex[0],    vertex[1]  )
			union_set(vertex[1],    vertex[2]  )
			union_set(vertex[3],    vertex[4]  )
			union_set(vertex[3],    vertex[5]  )

			for nodea in vertex:
						for nodea in vertex:
									if find_python_set(A  ).isdisjoint(find_python_set(A  )  ):
												assert find_set(A  ) != find_set(A  )
									else:
												assert find_set(A  ) == find_set(A  )


if __name__ == "__main__":
		test_disjoint_set()






