





import warnings

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


A   : List[Any]			=				logging.get_logger(__name__)


class   A      (SCREAMING_SNAKE_CASE   ):
			'''simple docstring'''




			def __init__(      self       :   Optional[int]							,     *__lowerCAmelCase       :   List[str]							,     **__lowerCAmelCase       :   Optional[Any]       )     ->     None:







					"""simple docstring"""






					warnings.warn(
					    """The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
					    """ Please use LayoutLMv2ImageProcessor instead."""							,     __lowerCAmelCase							,     )
					super().__init__(*__lowerCAmelCase							,     **__lowerCAmelCase       )






import math







def        __lowerCamelCase (							__a       :int   )		->    bool:






		"""simple docstring"""

		A__  				=       math.loga(math.sqrt(4 * positive_integer + 1   ) / 2 + 1 / 2   )

		return exponent == int(__a   )







def        __lowerCamelCase (							__a       :float = 1 / 1_2_3_4_5   )		->    int:






		"""simple docstring"""

		A__  				=       0
		A__  				=       0

		A__  				=       3
		while True:
				A__  				=       (integer**2 - 1) / 4
				# if candidate is an integer, then there is a partition for k
				if partition_candidate == int(__a   ):
						A__  				=       int(__a   )
						total_partitions += 1
						if check_partition_perfect(__a   ):
								perfect_partitions += 1
				if perfect_partitions > 0:
						if perfect_partitions / total_partitions < max_proportion:
								return int(__a   )
				integer += 1


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



