



from typing import TYPE_CHECKING

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


__lowerCamelCase  				=					{
    """configuration_mobilenet_v1""": [
        """MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileNetV1Config""",
        """MobileNetV1OnnxConfig""",
    ],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase  				=					["""MobileNetV1FeatureExtractor"""]
    __lowerCamelCase  				=					["""MobileNetV1ImageProcessor"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase  				=					[
        """MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """MobileNetV1ForImageClassification""",
        """MobileNetV1Model""",
        """MobileNetV1PreTrainedModel""",
        """load_tf_weights_in_mobilenet_v1""",
    ]


if TYPE_CHECKING:
    from .configuration_mobilenet_va import (
        MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MobileNetVaConfig,
        MobileNetVaOnnxConfig,
    )

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
        from .image_processing_mobilenet_va import MobileNetVaImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mobilenet_va import (
            MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetVaForImageClassification,
            MobileNetVaModel,
            MobileNetVaPreTrainedModel,
            load_tf_weights_in_mobilenet_va,
        )


else:
    import sys

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




def     UpperCAmelCase__ (							__snake_case						,				__snake_case						,				__snake_case						,				__snake_case						,				__snake_case							)   -> None:
  if target == 0:
    answer.append(path.copy()							)
  else:
    for index in range(__snake_case						,				len(__snake_case							)							):
      if target >= candidates[index]:
        path.append(candidates[index]							)
        backtrack(__snake_case						,				__snake_case						,				__snake_case						,				target - candidates[index]						,				__snake_case							)
        path.pop(len(__snake_case							) - 1							)




def     UpperCAmelCase__ (							__snake_case						,				__snake_case							)   -> list:
  _A           =    []  # type: list[int]
  _A           =    []  # type: list[int]
  backtrack(__snake_case						,				__snake_case						,				__snake_case						,				__snake_case						,				0							)
  return answer




def     UpperCAmelCase__ (							)   -> None:
  print(combination_sum([-8, 2.3, 0]						,				1							)							)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()