

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


a__												=						{
    '''configuration_encodec''': [
        '''ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EncodecConfig''',
    ],
    '''feature_extraction_encodec''': ['''EncodecFeatureExtractor'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a__												=						[
			    '''ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''EncodecModel''',
			    '''EncodecPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_encodec import (
			    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    EncodecConfig,
			)
			from .feature_extraction_encodec import EncodecFeatureExtractor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_encodec import (
						    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
						    EncodecModel,
						    EncodecPreTrainedModel,
						)

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()




