






import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


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


class   __SCREAMING_SNAKE_CASE(	a_	):
							def __init__(     self:      str       ,	*UpperCamelCase:      Tuple       ,	**UpperCamelCase:      List[Any]						)		->		None:
											warnings.warn(
											    'The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
											    ' Please use DeformableDetrImageProcessor instead.'       ,	UpperCamelCase       ,	)
											super().__init__(*UpperCamelCase       ,	**UpperCamelCase						)












def      a_ (      _A = 4000000  )			->			int:







				"""simple docstring"""
				snake_case__									=     [0, 1]
				snake_case__									=     0
				while fib[i] <= n:
								fib.append(fib[i] + fib[i + 1]  )
								if fib[i + 2] > n:
												break
								i += 1
				snake_case__									=     0
				for j in range(len(_A  ) - 1  ):
								if fib[j] % 2 == 0:
												total += fib[j]

				return total


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




