





from typing import TYPE_CHECKING

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


_snake_case           =			{
    """configuration_mobilenet_v2""": [
        """MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileNetV2Config""",
        """MobileNetV2OnnxConfig""",
    ],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _snake_case           =			["""MobileNetV2FeatureExtractor"""]
    _snake_case           =			["""MobileNetV2ImageProcessor"""]


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _snake_case           =			[
        """MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """MobileNetV2ForImageClassification""",
        """MobileNetV2ForSemanticSegmentation""",
        """MobileNetV2Model""",
        """MobileNetV2PreTrainedModel""",
        """load_tf_weights_in_mobilenet_v2""",
    ]


if TYPE_CHECKING:
    from .configuration_mobilenet_va import (
        MOBILENET_V2_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_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetVaForImageClassification,
            MobileNetVaForSemanticSegmentation,
            MobileNetVaModel,
            MobileNetVaPreTrainedModel,
            load_tf_weights_in_mobilenet_va,
        )


else:
    import sys

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













from __future__ import annotations


def _A       (   __magic_name__  , __magic_name__	):
   lowercase__			       =  []
   create_all_state(1  , __magic_name__  , __magic_name__  , []  , __magic_name__	)
   return result


def _A       (   __magic_name__  , __magic_name__  , __magic_name__  , __magic_name__  , __magic_name__  , ):
   if level == 0:
      total_list.append(current_list[:]	)
      return

   for i in range(__magic_name__  , total_number - level + 2	):
      current_list.append(__magic_name__	)
      create_all_state(i + 1  , __magic_name__  , level - 1  , __magic_name__  , __magic_name__	)
      current_list.pop()


def _A       (   __magic_name__	):
   for i in total_list:
      print(*__magic_name__	)


if __name__ == "__main__":
  _snake_case           =			4
  _snake_case           =			2
  _snake_case           =			generate_all_combinations(n, k)
  print_all_state(total_list)






