


def 	__lowerCAmelCase      (SCREAMING_SNAKE_CASE=2_8123 )->  Tuple:




      """simple docstring"""

      snake_case_	=				[1] * (limit + 1)

      for i in range(2 , int(limit**0.5 ) + 1 ):
            sum_divs[i * i] += i
            for k in range(i + 1 , limit // i + 1 ):
                  sum_divs[k * i] += k + i

      snake_case_	=				set()
      snake_case_	=				0

      for n in range(1 , limit + 1 ):
            if sum_divs[n] > n:
                  abundants.add(lowercase__ )

            if not any((n - a in abundants) for a in abundants ):
                  res += n

      return res


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



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase      =   {"""configuration_vit_msn""": ["""VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMSNConfig"""]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase      =   [
       """VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """ViTMSNModel""",
       """ViTMSNForImageClassification""",
       """ViTMSNPreTrainedModel""",
   ]

if TYPE_CHECKING:
   from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vit_msn import (
          VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
          ViTMSNForImageClassification,
          ViTMSNModel,
          ViTMSNPreTrainedModel,
      )

else:
   import sys

   UpperCAmelCase      =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)