
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__a         =   {'configuration_focalnet': ['FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'FocalNetConfig']}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a         =   [
						    'FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'FocalNetForImageClassification',
						    'FocalNetForMaskedImageModeling',
						    'FocalNetBackbone',
						    'FocalNetModel',
						    'FocalNetPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_focalnet import FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FocalNetConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_focalnet import (
												    FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    FocalNetBackbone,
												    FocalNetForImageClassification,
												    FocalNetForMaskedImageModeling,
												    FocalNetModel,
												    FocalNetPreTrainedModel,
												)

else:
						import sys

						__a         =   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






def 							a		(				snake_case__:   int   ):


				'''simple docstring'''
				if not isinstance(snake_case__		,  snake_case__   ):
								raise ValueError('''Input must be an integer'''   )
				if input_num <= 0:
								raise ValueError('''Input must be positive'''   )
				return sum(
				    divisor for divisor in range(1		,  input_num // 2 + 1   ) if input_num % divisor == 0   )


if __name__ == "__main__":
						import doctest

						doctest.testmod()




