





from math import sqrt





def      _lowercase					(						_UpperCAmelCase				)						->  int:
				lowerCamelCase	 =0
				for i in range(1			,      int(sqrt(_UpperCAmelCase				) + 1				)				):
								if n % i == 0 and i != sqrt(_UpperCAmelCase				):
												total += i + n // i
								elif i == sqrt(_UpperCAmelCase				):
												total += i
				return total - n





def      _lowercase					(						_UpperCAmelCase = 1_00_00				)						->  int:
				lowerCamelCase	 =sum(
				    i
				    for i in range(1			,      _UpperCAmelCase				)
				    if sum_of_divisors(sum_of_divisors(_UpperCAmelCase				)				) == i and sum_of_divisors(_UpperCAmelCase				) != i				)
				return total


if __name__ == "__main__":
							print(solution(int(str(input()).strip())))












from typing import TYPE_CHECKING

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


UpperCAmelCase__						:			List[Any]									={'''configuration_yolos''': ['''YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''YolosConfig''', '''YolosOnnxConfig''']}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__						:			Dict									=['''YolosFeatureExtractor''']
							UpperCAmelCase__						:			List[Any]									=['''YolosImageProcessor''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__						:			Optional[Any]									=[
							    '''YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''YolosForObjectDetection''',
							    '''YolosModel''',
							    '''YolosPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_yolos import YolosFeatureExtractor
														from .image_processing_yolos import YolosImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_yolos import (
														    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
														    YolosForObjectDetection,
														    YolosModel,
														    YolosPreTrainedModel,
														)


else:
							import sys

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





