

from bisect import bisect
from itertools import accumulate

def       __snake_case						( __UpperCamelCase	: int				,__UpperCamelCase	: Tuple				,__UpperCamelCase	: str				,__UpperCamelCase	: str    ):



      """simple docstring"""

      A_						  =				sorted(zip(__UpperCamelCase				,__UpperCamelCase    )				,key=lambda __UpperCamelCase    : x[0] / x[1]				,reverse=__UpperCamelCase    )
      A_  ,     A_						  =				[i[0] for i in r], [i[1] for i in r]
      A_						  =				list(accumulate(__UpperCamelCase    )    )
      A_						  =				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_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCAmelCase				=						{
    """configuration_vision_encoder_decoder""": ["""VisionEncoderDecoderConfig""", """VisionEncoderDecoderOnnxConfig"""]
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase				=						["""VisionEncoderDecoderModel"""]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase				=						["""TFVisionEncoderDecoderModel"""]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase				=						["""FlaxVisionEncoderDecoderModel"""]

if TYPE_CHECKING:
 from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
 import sys

 UpperCAmelCase				=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

