
SCREAMING_SNAKE_CASE							:List[Any]											=       10**8


def 		UpperCAmelCase    (			a_		)	->			bool:







				"""simple docstring"""



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


def 		UpperCAmelCase    (			)	->			int:







				"""simple docstring"""



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

				return sum(a_		)


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


import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig





class 							UpperCAmelCase   (						__SCREAMING_SNAKE_CASE						):




	'''simple docstring'''





	snake_case_      					=  CustomConfig






	def __init__( self      :				Optional[int]							,A      :				List[str]				):
					super().__init__(A				)
					__A         =				torch.nn.Linear(config.hidden_size							,config.hidden_size				)






	def        UpperCamelCase_						( self      :				Union[str, Any]							,A      :				Optional[int]				):
					return self.linear(A				)







	def        UpperCamelCase_						( self      :				Optional[int]							,A      :				int				):
					pass





class 							UpperCAmelCase   (						__SCREAMING_SNAKE_CASE						):




	'''simple docstring'''





	snake_case_      					=  NoSuperInitConfig






	def __init__( self      :				Optional[int]							,A      :				Union[str, Any]				):
					super().__init__(A				)
					__A         =				torch.nn.Linear(config.attribute							,config.attribute				)






	def        UpperCamelCase_						( self      :				str							,A      :				Any				):
					return self.linear(A				)







	def        UpperCamelCase_						( self      :				Tuple							,A      :				int				):
					pass
