


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


a					:				int       =      logging.get_logger(__name__)

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

a					:				Optional[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'
        ),
    },
}

a					:				Optional[Any]       =      {
    'microsoft/layoutlm-base-uncased': 512,
    'microsoft/layoutlm-large-uncased': 512,
}

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

class   lowerCamelCase						(	SCREAMING_SNAKE_CASE  ):
       _UpperCamelCase     		=   VOCAB_FILES_NAMES
       _UpperCamelCase     		=   PRETRAINED_VOCAB_FILES_MAP
       _UpperCamelCase     		=   PRETRAINED_INIT_CONFIGURATION
       _UpperCamelCase     		=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _UpperCamelCase     		=   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__						,    ):






        '''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__						,    )

        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
        ):
         snake_case :			Dict							=   getattr(a__						,    normalizer_state.pop('''type'''       )       )
         snake_case :			Dict							=   do_lower_case
         snake_case :			Any							=   strip_accents
         snake_case :			List[str]							=   tokenize_chinese_chars
         snake_case :			Union[str, Any]							=   normalizer_class(**a__       )

        snake_case :			Optional[int]							=   do_lower_case

       def 					UpperCAmelCase					(      self						,    a__						,    a__=None       ):






        '''simple docstring'''






        snake_case :			Optional[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						,    a__						,    a__ = None       ):






        '''simple docstring'''






        snake_case :			Dict							=   [self.sep_token_id]
        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						,    a__						,    a__ = None       ):






        '''simple docstring'''






        snake_case :			str							=   self._tokenizer.model.save(a__						,    name=a__       )
        return tuple(a__       )











import sys

sys.set_int_max_str_digits(0)  # type: ignore





def 				A      (	_UpperCAmelCase							:  int       )							->					bool:







			'''simple docstring'''
			_UpperCAmelCase									=  [0] * 11
			_UpperCAmelCase									=  [0] * 11

			# mark last 9 numbers
			for _ in range(9       ):
						_UpperCAmelCase									=  1
						_UpperCAmelCase									=  number // 10
			# flag
			_UpperCAmelCase									=  True

			# check last 9 numbers for pandigitality

			for x in range(9       ):
						if not check_last[x + 1]:
									_UpperCAmelCase									=  False
			if not f:
						return f

			# mark first 9 numbers
			_UpperCAmelCase									=  int(str(_UpperCAmelCase       )[:9]       )

			for _ in range(9       ):
						_UpperCAmelCase									=  1
						_UpperCAmelCase									=  number // 10

			# check first 9 numbers for pandigitality

			for x in range(9       ):
						if not check_front[x + 1]:
									_UpperCAmelCase									=  False
			return f





def 				A      (	_UpperCAmelCase							:  int       )							->					bool:







			'''simple docstring'''
			_UpperCAmelCase									=  [0] * 11

			# mark last 9 numbers
			for _ in range(9       ):
						_UpperCAmelCase									=  1
						_UpperCAmelCase									=  number // 10
			# flag
			_UpperCAmelCase									=  True

			# check last 9 numbers for pandigitality

			for x in range(9       ):
						if not check_last[x + 1]:
									_UpperCAmelCase									=  False
			return f





def 				A      (	)							->					int:







			'''simple docstring'''
			_UpperCAmelCase									=  1
			_UpperCAmelCase									=  1
			_UpperCAmelCase									=  2
			# temporary Fibonacci numbers

			_UpperCAmelCase									=  1
			_UpperCAmelCase									=  1
			_UpperCAmelCase									=  2
			# temporary Fibonacci numbers mod 1e9

			# mod m=1e9, done for fast optimisation
			_UpperCAmelCase									=  [0] * 1_000_000
			_UpperCAmelCase									=  1_000_000_000

			for x in range(1_000_000       ):
						_UpperCAmelCase									=  (aa + ba) % m
						_UpperCAmelCase									=  ba % m
						_UpperCAmelCase									=  ca % m
						if checka(_UpperCAmelCase       ):
									_UpperCAmelCase									=  1

			for x in range(1_000_000       ):
						_UpperCAmelCase									=  a + b
						_UpperCAmelCase									=  b
						_UpperCAmelCase									=  c
						# perform check only if in tocheck
						if tocheck[x + 3] and check(_UpperCAmelCase       ):
									return x + 3  # first 2 already done
			return -1


if __name__ == "__main__":
							print(f"""{solution() = }""")
