






__UpperCAmelCase      =				1_0**8





def 						A_					(						lowercase_			)				->bool:







 """simple docstring"""

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





def 						A_					(						)				->int:







 """simple docstring"""

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

 return sum(lowercase_			)


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





"""simple docstring"""

from typing import TYPE_CHECKING

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


__lowercase    =				{
    '''configuration_videomae''': ['''VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VideoMAEConfig'''],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowercase    =				[
				    '''VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''VideoMAEForPreTraining''',
				    '''VideoMAEModel''',
				    '''VideoMAEPreTrainedModel''',
				    '''VideoMAEForVideoClassification''',
				]

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowercase    =				['''VideoMAEFeatureExtractor''']
				__lowercase    =				['''VideoMAEImageProcessor''']

if TYPE_CHECKING:
				from .configuration_videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_videomae import (
								    VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
								    VideoMAEForPreTraining,
								    VideoMAEForVideoClassification,
								    VideoMAEModel,
								    VideoMAEPreTrainedModel,
								)

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_videomae import VideoMAEFeatureExtractor
								from .image_processing_videomae import VideoMAEImageProcessor

else:
				import sys

				__lowercase    =				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



