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''': 512,
    '''microsoft/layoutlm-large-uncased''': 512,
}

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



class     snake_case_			(						__A			):
   __A      :						Dict   =							VOCAB_FILES_NAMES
   __A      :						Tuple   =							PRETRAINED_VOCAB_FILES_MAP
   __A      :						List[str]   =							PRETRAINED_INIT_CONFIGURATION
   __A      :						List[Any]   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __A      :						Optional[Any]   =							LayoutLMTokenizer






   def __init__( self							:	int      ,		lowercase_							:	str=None      ,		lowercase_							:	List[str]=None      ,		lowercase_							:	List[str]=True      ,		lowercase_							:	Tuple="[UNK]"      ,		lowercase_							:	Dict="[SEP]"      ,		lowercase_							:	int="[PAD]"      ,		lowercase_							:	Tuple="[CLS]"      ,		lowercase_							:	Optional[Any]="[MASK]"      ,		lowercase_							:	Union[str, Any]=True      ,		lowercase_							:	List[str]=None      ,		**lowercase_							:	str      ,		)   ->		Optional[int]:
       super().__init__(
           lowercase_      ,		tokenizer_file=lowercase_      ,		do_lower_case=lowercase_      ,		unk_token=lowercase_      ,		sep_token=lowercase_      ,		pad_token=lowercase_      ,		cls_token=lowercase_      ,		mask_token=lowercase_      ,		tokenize_chinese_chars=lowercase_      ,		strip_accents=lowercase_      ,		**lowercase_      ,		)

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

       lowercase__					:  Optional[Any]          =							do_lower_case






   def  __UpperCamelCase	( self							:	Dict      ,		lowercase_							:	Any      ,		lowercase_							:	Optional[int]=None    )   ->		Optional[int]:
       lowercase__					:  Union[str, Any]          =							[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							:	Dict      ,		lowercase_							:	List[int]      ,		lowercase_							:	Optional[List[int]] = None    )   ->		List[int]:
       lowercase__					:  Tuple          =							[self.sep_token_id]
       lowercase__					:  Dict          =							[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      ,		lowercase_							:	str      ,		lowercase_							:	Optional[str] = None    )   ->		Tuple[str]:
       lowercase__					:  Any          =							self._tokenizer.model.save(lowercase_      ,		name=lowercase_    )
       return tuple(lowercase_    )




class     snake_case_			:






   def __init__( self							:	Optional[int]      ,		lowercase_							:	Optional[int]=None    )   ->		Optional[int]:
       lowercase__					:  List[Any]          =							data
       lowercase__					:  Any          =							None







   def __repr__( self							:	Optional[Any]    )   ->		int:
       lowercase__					:  Optional[int]          =							""
       lowercase__					:  Any          =							self
       while temp:
           string_rep += F'''<{temp.data}> ---> '''
           lowercase__					:  List[Any]          =							temp.next
       string_rep += "<END>"
       return string_rep



def      lowercase_							(     _lowerCamelCase				:			List[Any]):

    # if elements_list is empty
    if not elements_list:
        raise Exception("The Elements List is empty")

    # Set first element as Head
    lowercase__					:  List[str]          =							Node(elements_list[0])
    lowercase__					:  Tuple          =							head
    # Loop through elements from position 1
    for data in elements_list[1:]:
        lowercase__					:  Tuple          =							Node(_lowerCamelCase)
        lowercase__					:  Union[str, Any]          =							current.next
    return head


UpperCamelCase    				=		[1, 3, 5, 32, 44, 12, 43]
print(f"List: {list_data}")
print('''Creating Linked List from List.''')
UpperCamelCase    				=		make_linked_list(list_data)
print('''Linked List:''')

print(linked_list)



