






import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


UpperCamelCase__						:      Dict								=					logging.get_logger(__name__)







class 				lowerCamelCase_     (	A__     ):
							def __init__(						self		:					Tuple							,*__lowerCamelCase		:					List[str]							,**__lowerCamelCase		:					Dict					):





								'''simple docstring'''



								warnings.warn(
								    '''The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
								    ''' Please use ConditionalDetrImageProcessor instead.'''							,__lowerCamelCase							,)
								super().__init__(*__lowerCamelCase							,**__lowerCamelCase					)













UpperCamelCase__						:      Dict								=					10**8





def   SCREAMING_SNAKE_CASE__						(   snake_case_  )   ->  bool:


	"""simple docstring"""



	if n % 1_0 == 0:
		return False
	a		=			str(snake_case_  )
	return s == s[::-1]





def   SCREAMING_SNAKE_CASE__						(   )   ->  int:


	"""simple docstring"""



	a		=			set()
	a		=			1
	a		=			5
	while sum_squares < LIMIT:
		a		=			first_square + 1
		while sum_squares < LIMIT:
			if is_palindrome(snake_case_  ):
				answer.add(snake_case_  )
			last_square += 1
			sum_squares += last_square**2
		first_square += 1
		a		=			first_square**2 + (first_square + 1) ** 2

	return sum(snake_case_  )


if __name__ == "__main__":
				print(solution())





