




def lowercase    (  SCREAMING_SNAKE_CASE )			->							bool:


			'''simple docstring'''







			return str(SCREAMING_SNAKE_CASE ) == str(SCREAMING_SNAKE_CASE )[::-1]

def lowercase    (  SCREAMING_SNAKE_CASE )			->							int:


			'''simple docstring'''







			return int(SCREAMING_SNAKE_CASE ) + int(str(SCREAMING_SNAKE_CASE )[::-1] )

def lowercase    (  SCREAMING_SNAKE_CASE = 1_00_00 )			->							int:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						[]
			for num in range(1       ,    SCREAMING_SNAKE_CASE ):
						SCREAMING_SNAKE_CASE_								=						0
						SCREAMING_SNAKE_CASE_								=						num
						while iterations < 50:
									SCREAMING_SNAKE_CASE_								=						sum_reverse(SCREAMING_SNAKE_CASE )
									iterations += 1
									if is_palindrome(SCREAMING_SNAKE_CASE ):
												break
						else:
									lychrel_nums.append(SCREAMING_SNAKE_CASE )
			return len(SCREAMING_SNAKE_CASE )


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






import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


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



class       a_       (     SCREAMING_SNAKE_CASE__     ):





	def __init__(							self      ,     *SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )  ->					None:




				"""simple docstring"""



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