"""simple docstring"""




def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: int=28123			) ->   int:
  _lowerCAmelCase		: Dict						    =  [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

  _lowerCAmelCase		: Union[str, Any]						    =  set()
  _lowerCAmelCase		: List[Any]						    =  0

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

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

  return res


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





"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_a   :	Tuple 					=     {'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _a   :	str 					=     [
         'WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST',
         'WavLMForAudioFrameClassification',
         'WavLMForCTC',
         'WavLMForSequenceClassification',
         'WavLMForXVector',
         'WavLMModel',
         'WavLMPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_wavlm import (
              WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
              WavLMForAudioFrameClassification,
              WavLMForCTC,
              WavLMForSequenceClassification,
              WavLMForXVector,
              WavLMModel,
              WavLMPreTrainedModel,
          )

else:
     import sys

     _a   :	Any 					=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




