




"""simple docstring"""
import itertools






def 				__lowerCAmelCase					(					__lowerCAmelCase			:		int = 1000000						)    ->       int:
 _UpperCamelCase      :	Optional[int]					      =  [1]

 for i in itertools.count(len(__lowerCAmelCase						)						):
  _UpperCamelCase      :	Optional[Any]					      =  0
  for j in itertools.count(1						):
   _UpperCamelCase      :	Optional[int]					      =  -1 if j % 2 == 0 else +1
   _UpperCamelCase      :	List[str]					      =  (j * j * 3 - j) // 2
   if index > i:
    break
   item += partitions[i - index] * sign
   item %= number
   index += j
   if index > i:
    break
   item += partitions[i - index] * sign
   item %= number

  if item == 0:
   return i
  partitions.append(__lowerCAmelCase						)

 return 0


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    print(f'{solution() = }')









"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_SCREAMING_SNAKE_CASE						 =     logging.get_logger(__name__)







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__				):



 '''simple docstring'''





 def __init__(self					,     *lowerCAmelCase__					,     **lowerCAmelCase__   ):

  '''simple docstring'''







  warnings.warn(
      "The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
      " Please use LayoutLMv3ImageProcessor instead."					,     lowerCAmelCase__					,     )
  super().__init__(*lowerCAmelCase__					,     **lowerCAmelCase__   )



