





from itertools import permutations






def 			lowerCamelCase__	():
     _SCREAMING_SNAKE_CASE				:		Dict  			=							list(map("".join,				permutations("0123456789"		)		)		)
     return result[999999]


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






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 	lowerCAmelCase__(       __lowercase			):






       '''simple docstring'''


       __snake_case       	=			VOCAB_FILES_NAMES
       __snake_case       	=			PRETRAINED_VOCAB_FILES_MAP
       __snake_case       	=			PRETRAINED_INIT_CONFIGURATION
       __snake_case       	=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __snake_case       	=			LayoutLMTokenizer




       def __init__(					self			,  __lowerCamelCase=None			,  __lowerCamelCase=None			,  __lowerCamelCase=True			,  __lowerCamelCase="[UNK]"			,  __lowerCamelCase="[SEP]"			,  __lowerCamelCase="[PAD]"			,  __lowerCamelCase="[CLS]"			,  __lowerCamelCase="[MASK]"			,  __lowerCamelCase=True			,  __lowerCamelCase=None			,  **__lowerCamelCase			,  )	->   Dict:
            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			,  )

            _SCREAMING_SNAKE_CASE				:		int  			=							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
            ):
                 _SCREAMING_SNAKE_CASE				:		List[Any]  			=							getattr(__lowerCamelCase			,  normalizer_state.pop("type"							)							)
                 _SCREAMING_SNAKE_CASE				:		str  			=							do_lower_case
                 _SCREAMING_SNAKE_CASE				:		int  			=							strip_accents
                 _SCREAMING_SNAKE_CASE				:		List[Any]  			=							tokenize_chinese_chars
                 _SCREAMING_SNAKE_CASE				:		List[str]  			=							normalizer_class(**__lowerCamelCase							)

            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							do_lower_case




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase=None							)	->   Tuple:
            _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			,  __lowerCamelCase			,  __lowerCamelCase = None							)	->   List[int]:
            _SCREAMING_SNAKE_CASE				:		Any  			=							[self.sep_token_id]
            _SCREAMING_SNAKE_CASE				:		str  			=							[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			,  __lowerCamelCase			,  __lowerCamelCase = None							)	->   Tuple[str]:
            _SCREAMING_SNAKE_CASE				:		int  			=							self._tokenizer.model.save(__lowerCamelCase			,  name=__lowerCamelCase							)
            return tuple(__lowerCamelCase							)