






from __future__ import annotations




def      lowercase__      (     __snake_case    :							list[int]     ,       __snake_case    :							list[int]     ,       __snake_case    :							int  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Union[str, Any]            =						list(range(len(__snake_case  )  )  )
					UpperCAmelCase_    :      Any            =						[v / w for v, w in zip(__snake_case     ,       __snake_case  )]
					index.sort(key=lambda __snake_case  : ratio[i]     ,       reverse=__snake_case  )

					UpperCAmelCase_    :      float            =						0
					UpperCAmelCase_    :      list[float]            =						[0] * len(__snake_case  )
					for i in index:
										if weight[i] <= capacity:
															UpperCAmelCase_    :      Optional[Any]            =						1
															max_value += value[i]
															capacity -= weight[i]
										else:
															UpperCAmelCase_    :      str            =						capacity / weight[i]
															max_value += value[i] * capacity / weight[i]
															break

					return max_value, fractions


if __name__ == "__main__":
		import doctest

		doctest.testmod()














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase								=						{'configuration_vit_msn': ['VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMSNConfig']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase								=						[
		    'VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ViTMSNModel',
		    'ViTMSNForImageClassification',
		    'ViTMSNPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vit_msn import (
				    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ViTMSNForImageClassification,
				    ViTMSNModel,
				    ViTMSNPreTrainedModel,
				)

else:
		import sys

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






