






'''simple docstring'''







def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       int:
							return abs(UpperCamelCase      ) if a == 0 else greatest_common_divisor(b % a				,			UpperCamelCase      )





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       int:
							while y:  # --> when y=0 then loop will terminate and return x as final GCD.
														lowerCamelCase__  ,		lowerCamelCase__					:	Tuple         =       y, x % y
							return abs(UpperCamelCase      )





def  SCREAMING_SNAKE_CASE_       ()      ->       Tuple:
							try:
														lowerCamelCase__					:	Dict         =       input("""Enter two integers separated by comma (,): """      ).split(""","""      )
														lowerCamelCase__					:	Any         =       int(nums[0]      )
														lowerCamelCase__					:	Optional[Any]         =       int(nums[1]      )
														print(
														    f'''greatest_common_divisor({num_a}, {num_a}) = '''
														    f'''{greatest_common_divisor(UpperCamelCase				,			UpperCamelCase      )}'''      )
														print(f'''By iterative gcd({num_a}, {num_a}) = {gcd_by_iterative(UpperCamelCase				,			UpperCamelCase      )}'''      )
							except (IndexError, UnboundLocalError, ValueError):
														print("""Wrong input"""      )


if __name__ == "__main__":
			main()









'''simple docstring'''







from typing import TYPE_CHECKING

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


_A	:			Union[str, Any]         ={
    '''configuration_swiftformer''': [
        '''SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''SwiftFormerConfig''',
        '''SwiftFormerOnnxConfig''',
    ]
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A	:			Optional[Any]         =[
			    '''SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''SwiftFormerForImageClassification''',
			    '''SwiftFormerModel''',
			    '''SwiftFormerPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_swiftformer import (
			    SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    SwiftFormerConfig,
			    SwiftFormerOnnxConfig,
			)

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_swiftformer import (
						    SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
						    SwiftFormerForImageClassification,
						    SwiftFormerModel,
						    SwiftFormerPreTrainedModel,
						)

else:
			import sys

			_A	:			Tuple         =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

