'''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


snake_case__	:     str      =    logging.get_logger(__name__)

snake_case__	:     Any      =    {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

snake_case__	:     Dict      =    {
    '''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'''
        ),
    },
}

snake_case__	:     Dict      =    {
    '''microsoft/layoutlm-base-uncased''': 512,
    '''microsoft/layoutlm-large-uncased''': 512,
}

snake_case__	:     Optional[Any]      =    {
    '''microsoft/layoutlm-base-uncased''': {'''do_lower_case''': True},
    '''microsoft/layoutlm-large-uncased''': {'''do_lower_case''': True},
}






class 	__SCREAMING_SNAKE_CASE		(			lowerCamelCase_			):







  '''simple docstring'''






  lowerCamelCase_						:Optional[Any]		       =						VOCAB_FILES_NAMES
  lowerCamelCase_						:Dict		       =						PRETRAINED_VOCAB_FILES_MAP
  lowerCamelCase_						:Tuple		       =						PRETRAINED_INIT_CONFIGURATION
  lowerCamelCase_						:int		       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowerCamelCase_						:Optional[int]		       =						LayoutLMTokenizer


  def __init__(					self ,						snake_case_=None ,						snake_case_=None ,						snake_case_=True ,						snake_case_="[UNK]" ,						snake_case_="[SEP]" ,						snake_case_="[PAD]" ,						snake_case_="[CLS]" ,						snake_case_="[MASK]" ,						snake_case_=True ,						snake_case_=None ,						**snake_case_ ,						):




       '''simple docstring'''

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

       UpperCAmelCase_				:  Any  = json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
       if (
           normalizer_state.get('lowercase' ,						snake_case_		) != do_lower_case
           or normalizer_state.get('strip_accents' ,						snake_case_		) != strip_accents
           or normalizer_state.get('handle_chinese_chars' ,						snake_case_		) != tokenize_chinese_chars
       ):
            UpperCAmelCase_				:  Tuple  = getattr(snake_case_ ,						normalizer_state.pop('type'		)		)
            UpperCAmelCase_				:  Union[str, Any]  = do_lower_case
            UpperCAmelCase_				:  Tuple  = strip_accents
            UpperCAmelCase_				:  Dict  = tokenize_chinese_chars
            UpperCAmelCase_				:  List[str]  = normalizer_class(**snake_case_		)

       UpperCAmelCase_				:  Optional[Any]  = do_lower_case


  def _UpperCamelCase	(					self ,						snake_case_ ,						snake_case_=None		):




       '''simple docstring'''

       UpperCAmelCase_				:  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 ,						snake_case_ ,						snake_case_ = None		):




       '''simple docstring'''

       UpperCAmelCase_				:  Optional[Any]  = [self.sep_token_id]
       UpperCAmelCase_				:  Union[str, 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 ,						snake_case_ ,						snake_case_ = None		):




       '''simple docstring'''

       UpperCAmelCase_				:  Tuple  = self._tokenizer.model.save(snake_case_ ,						name=snake_case_		)
       return tuple(snake_case_		)













from itertools import compress, repeat
from math import ceil, sqrt




def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		list[int]:

       if num <= 2:
              return []
       if num == 3:
              return [2]

       # Odd sieve for numbers in range [3, num - 1]
       UpperCamelCase_ 							=	bytearray(b"\x01"	) * ((num >> 1) - 1)

       for i in range(3       ,		int(sqrt(UpperCamelCase_	)	) + 1       ,		2	):
              if sieve[(i >> 1) - 1]:
                     UpperCamelCase_ 							=	i**2
                     UpperCamelCase_ 							=	repeat(
                         0       ,		ceil((num - i_squared) / (i << 1)	)	)

       return [2] + list(compress(range(3       ,		UpperCamelCase_       ,		2	)       ,		UpperCamelCase_	)	)


if __name__ == "__main__":
     import doctest

     doctest.testmod()

