code: 
  
  
  
  
  
  
  """simple docstring"""
  snake_case   :   List[str]    		=		1_0**8
  
  
  def        A	(							__snake_case:   int     )						->		bool:
  
         """simple docstring"""
  
  
  
  
  
         if n % 1_0 == 0:
                return False
         __magic_name__										=						str(snake_case__     )
         return s == s[::-1]
  
  
  def        A	(							)						->		int:
  
         """simple docstring"""
  
  
  
  
  
         __magic_name__										=						set()
         __magic_name__										=						1
         __magic_name__										=						5
         while sum_squares < LIMIT:
                __magic_name__										=						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
                __magic_name__										=						first_square**2 + (first_square + 1) ** 2
  
         return sum(snake_case__     )
  
  
  if __name__ == "__main__":
   print(solution())
  
  
style_context: 
  
  
  
  
  
  
  """simple docstring"""
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  snake_case   :   Optional[int]    		=		{
      """configuration_splinter""": ["""SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SplinterConfig"""],
      """tokenization_splinter""": ["""SplinterTokenizer"""],
  }
  
  try:
   if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   snake_case   :   Dict    		=		["""SplinterTokenizerFast"""]
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   snake_case   :   Dict    		=		[
       """SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """SplinterForQuestionAnswering""",
       """SplinterForPreTraining""",
       """SplinterLayer""",
       """SplinterModel""",
       """SplinterPreTrainedModel""",
   ]
  
  
  if TYPE_CHECKING:
   from .configuration_splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig
   from .tokenization_splinter import SplinterTokenizer
  
   try:
    if not is_tokenizers_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .tokenization_splinter_fast import SplinterTokenizerFast
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_splinter import (
        SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
        SplinterForPreTraining,
        SplinterForQuestionAnswering,
        SplinterLayer,
        SplinterModel,
        SplinterPreTrainedModel,
    )
  
  
  else:
   import sys
  
   snake_case   :   List[str]    		=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)