



"""simple docstring"""




from typing import TYPE_CHECKING

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


_UpperCamelCase:					Optional[int]     				=	{
    'configuration_imagegpt': ['IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ImageGPTConfig', 'ImageGPTOnnxConfig']
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase:					int     				=	['ImageGPTFeatureExtractor']
     _UpperCamelCase:					int     				=	['ImageGPTImageProcessor']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase:					Union[str, Any]     				=	[
         'IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
         'ImageGPTForCausalImageModeling',
         'ImageGPTForImageClassification',
         'ImageGPTModel',
         'ImageGPTPreTrainedModel',
         'load_tf_weights_in_imagegpt',
     ]


if TYPE_CHECKING:
     from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
          from .image_processing_imagegpt import ImageGPTImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_imagegpt import (
              IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
              ImageGPTForCausalImageModeling,
              ImageGPTForImageClassification,
              ImageGPTModel,
              ImageGPTPreTrainedModel,
              load_tf_weights_in_imagegpt,
          )

else:
     import sys

     _UpperCamelCase:					Dict     				=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





"""simple docstring"""




def 	lowercase__  (      )  ->      Any:






      '''simple docstring'''


      lowercase	:   Dict											= 1

      while True:
            if (
                sorted(str(_UpperCAmelCase					)					)
                == sorted(str(2 * i					)					)
                == sorted(str(3 * i					)					)
                == sorted(str(4 * i					)					)
                == sorted(str(5 * i					)					)
                == sorted(str(6 * i					)					)
            ):
                  return i

            i += 1


if __name__ == "__main__":
     print(solution())
