




UpperCamelCase__						=		1_0**8






def    snake_case   (				A     )				->				bool:




	'''simple docstring'''


	if n % 10 == 0:
		return False
	lowerCamelCase_				:						Union[str, Any]				  =				str(A     )
	return s == s[::-1]






def    snake_case   (				)				->				int:




	'''simple docstring'''


	lowerCamelCase_				:						List[str]				  =				set()
	lowerCamelCase_				:						Any				  =				1
	lowerCamelCase_				:						Optional[int]				  =				5
	while sum_squares < LIMIT:
		lowerCamelCase_				:						List[str]				  =				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
		lowerCamelCase_				:						Dict				  =				first_square**2 + (first_square + 1) ** 2

	return sum(A     )


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





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__SCREAMING_SNAKE_CASE     =	{"""configuration_yoso""": ["""YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP""", """YosoConfig"""]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__SCREAMING_SNAKE_CASE     =	[
							    """YOSO_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """YosoForMaskedLM""",
							    """YosoForMultipleChoice""",
							    """YosoForQuestionAnswering""",
							    """YosoForSequenceClassification""",
							    """YosoForTokenClassification""",
							    """YosoLayer""",
							    """YosoModel""",
							    """YosoPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_yoso import (
														    YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
														    YosoForMaskedLM,
														    YosoForMultipleChoice,
														    YosoForQuestionAnswering,
														    YosoForSequenceClassification,
														    YosoForTokenClassification,
														    YosoLayer,
														    YosoModel,
														    YosoPreTrainedModel,
														)


else:
							import sys

							__SCREAMING_SNAKE_CASE     =	_LazyModule(__name__, globals()["""__file__"""], _import_structure)