from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


lowerCAmelCase__					=				{
    'configuration_mobilevitv2': [
        'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileViTV2Config',
        'MobileViTV2OnnxConfig',
    ],
}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__					=				[
        'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
        'MobileViTV2ForImageClassification',
        'MobileViTV2ForSemanticSegmentation',
        'MobileViTV2Model',
        'MobileViTV2PreTrainedModel',
    ]

if TYPE_CHECKING:
    from .configuration_mobilevitva import (
        MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MobileViTVaConfig,
        MobileViTVaOnnxConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mobilevitva import (
            MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTVaForImageClassification,
            MobileViTVaForSemanticSegmentation,
            MobileViTVaModel,
            MobileViTVaPreTrainedModel,
        )

else:
    import sys

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

def    __lowerCamelCase	(		lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			):
       if target == 0:
              answer.append(path.copy()			)
       else:
              for index in range(lowerCAmelCase__			,						len(lowerCAmelCase__			)			):
                     if target >= candidates[index]:
                            path.append(candidates[index]			)
                            backtrack(lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			,						target - candidates[index]			,						lowerCAmelCase__			)
                            path.pop(len(lowerCAmelCase__			) - 1			)






def    __lowerCamelCase	(		lowerCAmelCase__			,						lowerCAmelCase__			):
       lowerCAmelCase__  			=      []  # type: list[int]
       lowerCAmelCase__  			=      []  # type: list[int]
       backtrack(lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			,						0			)
       return answer






def    __lowerCamelCase	(		):
       print(combination_sum([-8, 2.3, 0]			,						1			)			)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()
