
"""simple docstring"""





def      a__			(   lowerCAmelCase__ = 1000   ):
      UpperCAmelCase_    				=							2**power
      UpperCAmelCase_    				=							str(_UpperCamelCase   )
      UpperCAmelCase_    				=							list(_UpperCamelCase   )
      UpperCAmelCase_    				=							0

      for i in list_num:
            sum_of_num += int(_UpperCamelCase   )

      return sum_of_num


if __name__ == "__main__":
  lowerCamelCase      =		int(input("""Enter the power of 2: """).strip())
  print("""2 ^ """, power, """ = """, 2**power)
  lowerCamelCase      =		solution(power)
  print("""Sum of the digits is: """, result)









"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase      =		{
    """configuration_swinv2""": ["""SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP""", """Swinv2Config"""],
}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase      =		[
      """SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """Swinv2ForImageClassification""",
      """Swinv2ForMaskedImageModeling""",
      """Swinv2Model""",
      """Swinv2PreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_swinva import (
        SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
        SwinvaForImageClassification,
        SwinvaForMaskedImageModeling,
        SwinvaModel,
        SwinvaPreTrainedModel,
    )


else:
  import sys

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




