"""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


__lowerCamelCase :     int          =  logging.get_logger(__name__)

__lowerCamelCase :     List[Any]          =  {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCamelCase :     List[str]          =  {
    '''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 :     int          =  {
    '''microsoft/layoutlm-base-uncased''': 5_12,
    '''microsoft/layoutlm-large-uncased''': 5_12,
}

__lowerCamelCase :     List[str]          =  {
    '''microsoft/layoutlm-base-uncased''': {'''do_lower_case''': True},
    '''microsoft/layoutlm-large-uncased''': {'''do_lower_case''': True},
}






class 		a__						( A__ ):
					A     	=							VOCAB_FILES_NAMES
					A     	=							PRETRAINED_VOCAB_FILES_MAP
					A     	=							PRETRAINED_INIT_CONFIGURATION
					A     	=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					A     	=							LayoutLMTokenizer

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







							"""simple docstring"""






							super().__init__(
							    _A,tokenizer_file=_A,do_lower_case=_A,unk_token=_A,sep_token=_A,pad_token=_A,cls_token=_A,mask_token=_A,tokenize_chinese_chars=_A,strip_accents=_A,**_A,)

							SCREAMING_SNAKE_CASE_  :		int    				=   json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
							if (
							    normalizer_state.get("lowercase",_A   ) != do_lower_case
							    or normalizer_state.get("strip_accents",_A   ) != strip_accents
							    or normalizer_state.get("handle_chinese_chars",_A   ) != tokenize_chinese_chars
							):
									SCREAMING_SNAKE_CASE_  :		List[str]    				=   getattr(_A,normalizer_state.pop("type"   )   )
									SCREAMING_SNAKE_CASE_  :		int    				=   do_lower_case
									SCREAMING_SNAKE_CASE_  :		List[str]    				=   strip_accents
									SCREAMING_SNAKE_CASE_  :		Optional[Any]    				=   tokenize_chinese_chars
									SCREAMING_SNAKE_CASE_  :		Tuple    				=   normalizer_class(**_A   )

							SCREAMING_SNAKE_CASE_  :		List[Any]    				=   do_lower_case

					def     __UpperCamelCase       (   self				:	str,_A				:	Optional[int],_A				:	List[Any]=None   ):







							"""simple docstring"""






							SCREAMING_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     __UpperCamelCase       (   self				:	str,_A				:	List[int],_A				:	Optional[List[int]] = None   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		str    				=   [self.sep_token_id]
							SCREAMING_SNAKE_CASE_  :		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     __UpperCamelCase       (   self				:	Any,_A				:	str,_A				:	Optional[str] = None   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Tuple    				=   self._tokenizer.model.save(_A,name=_A   )
							return tuple(_A   )

from __future__ import annotations






class 		a__						:

					def __init__(   self				:	Union[str, Any],_A				:	int   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		List[Any]    				=   value
							SCREAMING_SNAKE_CASE_  :		Node | None    				=   None
							SCREAMING_SNAKE_CASE_  :		Node | None    				=   None







class 		a__						:
					A     	=							42

					def __init__(   self				:	Optional[Any]   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		List[str]    				=   0

					def     __UpperCamelCase       (   self				:	List[Any],_A				:	Node | None,_A				:	int   ):







							"""simple docstring"""






							if node is None:
									return

							if path_sum == self.target:
									self.paths += 1

							if node.left:
									self.depth_first_search(node.left,path_sum + node.left.value   )
							if node.right:
									self.depth_first_search(node.right,path_sum + node.right.value   )






					def     __UpperCamelCase       (   self				:	List[str],_A				:	Node | None,_A				:	int | None = None   ):







							"""simple docstring"""






							if node is None:
									return 0
							if target is not None:
									SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   target

							self.depth_first_search(_A,node.value   )
							self.path_sum(node.left   )
							self.path_sum(node.right   )

							return self.paths


if __name__ == "__main__":
		import doctest

		doctest.testmod()
