from math import sqrt
def 							lowerCAmelCase(     __lowerCamelCase						):
					__a		 =       0
					for i in range(1				,    int(sqrt(__lowerCamelCase						) + 1						)						):
										if n % i == 0 and i != sqrt(__lowerCamelCase						):
															total += i + n // i
										elif i == sqrt(__lowerCamelCase						):
															total += i
					return total - n
def 							lowerCAmelCase(     __lowerCamelCase = 1_0000						):
					__a		 =       sum(
					    i
					    for i in range(1				,    __lowerCamelCase						)
					    if sum_of_divisors(sum_of_divisors(__lowerCamelCase						)						) == i and sum_of_divisors(__lowerCamelCase						) != i						)
					return total


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





from typing import TYPE_CHECKING

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


lowerCamelCase_    :		Dict							=	{"""configuration_speech_encoder_decoder""": ["""SpeechEncoderDecoderConfig"""]}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Optional[Any]							=	["""SpeechEncoderDecoderModel"""]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Dict							=	["""FlaxSpeechEncoderDecoderModel"""]

if TYPE_CHECKING:
	from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
	import sys

	lowerCamelCase_    :		Optional[int]							=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




