code: 
  '''simple docstring'''
  
  import math
  
  
  
  
  
  
  
  def 						snake_case__	(      UpperCamelCase	) ->      int:
  		return sum(int(UpperCamelCase	) for digit in str(UpperCamelCase	)	)
  
  
  
  
  
  
  
  def 						snake_case__	(      UpperCamelCase = 30	) ->      int:
  		_UpperCamelCase       : List[str]    =      []
  		for digit in range(2			,1_00	):
  				for power in range(2			,1_00	):
  						_UpperCamelCase       : List[Any]    =      int(math.pow(UpperCamelCase			,UpperCamelCase	)	)
  						if digit == digit_sum(UpperCamelCase	):
  								digit_to_powers.append(UpperCamelCase	)
  
  		digit_to_powers.sort()
  		return digit_to_powers[n - 1]
  
  
  if __name__ == "__main__":
  	print(solution())
  
  
  
  
style_context: 
  '''simple docstring'''
  
  _UpperCAmelCase   :      Optional[int] 						=  """
  # Transformers installation
  ! pip install transformers datasets evaluate
  # To install from source instead of the last release, comment the command above and uncomment the following one.
  # ! pip install git+https://github.com/huggingface/transformers.git
  """
  
  _UpperCAmelCase   :      Union[str, Any] 						=  [{"""type""": """code""", """content""": INSTALL_CONTENT}]
  _UpperCAmelCase   :      Union[str, Any] 						=  {
      """{processor_class}""": """FakeProcessorClass""",
      """{model_class}""": """FakeModelClass""",
      """{object_class}""": """FakeObjectClass""",
  }
  
  
  
  
  
  