
import warnings

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


lowerCamelCase_    :			Tuple    =	logging.get_logger(__name__)

class 							_UpperCamelCase					(       SCREAMING_SNAKE_CASE_	):






			'''simple docstring'''

			def __init__(							self			:							Any    ,						*snake_case_			:							int    ,						**snake_case_			:							Optional[Any]   ):
							warnings.warn(
							    """The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
							    """ Please use LayoutLMv2ImageProcessor instead."""    ,						snake_case_    ,						)
							super().__init__(*snake_case_    ,						**snake_case_   )











"""simple docstring"""







from math import ceil, sqrt

def     UpperCAmelCase_					(				__a   :			int = 1_00_00_00						):




			'''simple docstring'''



			_lowerCamelCase					:					Tuple	       =    0

			for outer_width in range(3      ,							(limit // 4) + 2						):
						if outer_width**2 > limit:
									_lowerCamelCase					:					Optional[int]	       =    max(ceil(sqrt(outer_width**2 - limit						)						)      ,							1						)
						else:
									_lowerCamelCase					:					Any	       =    1
						if (outer_width - hole_width_lower_bound) % 2:
									hole_width_lower_bound += 1

						answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

			return answer


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





