






"""simple docstring"""



from bisect import bisect
from itertools import accumulate




def      _lowerCAmelCase		(							UpperCAmelCase__       :					List[Any],						UpperCAmelCase__       :					str,						UpperCAmelCase__       :					int,						UpperCAmelCase__       :					Dict      )		->Tuple:
						A__						:  Tuple		  =  sorted(zip(UpperCAmelCase__,						UpperCAmelCase__      ),						key=lambda UpperCAmelCase__      : x[0] / x[1],						reverse=UpperCAmelCase__      )
						A__  ,  A__						:  List[Any]		  =  [i[0] for i in r], [i[1] for i in r]
						A__						:  Optional[int]		  =  list(accumulate(UpperCAmelCase__      )      )
						A__						:  Dict		  =  bisect(UpperCAmelCase__,						UpperCAmelCase__      )
						return (
						    0
						    if k == 0
						    else sum(vl[:k]      ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
						    if k != n
						    else sum(vl[:k]      )
						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()














"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A_    =							{'''configuration_sew''': ['''SEW_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWConfig''']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A_    =							[
						    '''SEW_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''SEWForCTC''',
						    '''SEWForSequenceClassification''',
						    '''SEWModel''',
						    '''SEWPreTrainedModel''',
						]

if TYPE_CHECKING:
						from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_sew import (
												    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
												    SEWForCTC,
												    SEWForSequenceClassification,
												    SEWModel,
												    SEWPreTrainedModel,
												)


else:
						import sys

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






