

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__  :      Union[str, Any]			=    {
    "configuration_nllb_moe": [
        "NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "NllbMoeConfig",
    ]
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCamelCase__  :      str			=    [
           "NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST",
           "NllbMoeForConditionalGeneration",
           "NllbMoeModel",
           "NllbMoePreTrainedModel",
           "NllbMoeTop2Router",
           "NllbMoeSparseMLP",
       ]


if TYPE_CHECKING:
       from .configuration_nllb_moe import (
           NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
           NllbMoeConfig,
       )

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_nllb_moe import (
                  NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  NllbMoeForConditionalGeneration,
                  NllbMoeModel,
                  NllbMoePreTrainedModel,
                  NllbMoeSparseMLP,
                  NllbMoeTopaRouter,
              )


else:
       import sys

       UpperCamelCase__  :      Optional[Any]			=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		list ,   _SCREAMING_SNAKE_CASE					:		list ,   _SCREAMING_SNAKE_CASE					:		int ,   _SCREAMING_SNAKE_CASE					:		int ,   _SCREAMING_SNAKE_CASE					:		int       ):





    """simple docstring"""


    if index == number_of_items:
        return 0
    SCREAMING_SNAKE_CASE_									=						0
    SCREAMING_SNAKE_CASE_									=						0
    SCREAMING_SNAKE_CASE_									=						knapsack(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE ,   index + 1       )
    if weights[index] <= max_weight:
        SCREAMING_SNAKE_CASE_									=						values[index] + knapsack(
            _SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE ,   max_weight - weights[index] ,   index + 1       )
    return max(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


