



'''simple docstring'''






from bisect import bisect
from itertools import accumulate
def 				lowerCamelCase__	(						_A			,      _A			,      _A			,      _A    ):
  a						: Optional[int]					       =					sorted(zip(lowerCamelCase__			,      lowerCamelCase__    )			,      key=lambda _A    : x[0] / x[1]			,      reverse=lowerCamelCase__    )
  a						: int					       =					[i[0] for i in r], [i[1] for i in r]
  a						: Tuple					       =					list(accumulate(lowerCamelCase__    )    )
  a						: str					       =					bisect(lowerCamelCase__			,      lowerCamelCase__    )
  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_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase: List[Any]							=						{}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase: Optional[int]							=						['NllbTokenizer']

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase: Dict							=						['NllbTokenizerFast']


if TYPE_CHECKING:
     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_nllb import NllbTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_nllb_fast import NllbTokenizerFast

else:
     import sys

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