


'''simple docstring'''







def 			lowercase				(_A   ,						_A   ,						_A   ,						_A   ,						_A					):







       """simple docstring"""







       if index == number_of_items:
              return 0
       _lowerCAmelCase    :							Tuple   			=       0
       _lowerCAmelCase    :							Any   			=       0
       _lowerCAmelCase    :							Optional[Any]   			=       knapsack(lowercase__   ,						lowercase__   ,						lowercase__   ,						lowercase__   ,						index + 1					)
       if weights[index] <= max_weight:
              _lowerCAmelCase    :							Dict   			=       values[index] + knapsack(
                  lowercase__   ,						lowercase__   ,						lowercase__   ,						max_weight - weights[index]   ,						index + 1					)
       return max(lowercase__   ,						lowercase__					)


if __name__ == "__main__":
       import doctest

       doctest.testmod()





'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


lowerCAmelCase    :     int					=						{
    """configuration_trocr""": ["""TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TrOCRConfig"""],
    """processing_trocr""": ["""TrOCRProcessor"""],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase    :     Optional[Any]					=						[
           """TROCR_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """TrOCRForCausalLM""",
           """TrOCRPreTrainedModel""",
       ]


if TYPE_CHECKING:
       from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
       from .processing_trocr import TrOCRProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
       import sys

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

