code: 
  
  A_		:			str										=   (1, 153, 370, 371, 1634, 24678051, 115132219018763992565095597973971522401)
  A_		:			tuple										=   (-153, -1, 0, 1.2, 200, "A", [], {}, None)
  
  
  def       __a       (   SCREAMING_SNAKE_CASE      )      ->     bool:
  
  
  
  
  
  
      '''simple docstring'''
      if not isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      ) or n < 1:
          return False
  
      # Initialization of sum and number of digits.
      __UpperCAmelCase									=			0
      __UpperCAmelCase									=			0
      __UpperCAmelCase									=			n
      # Calculation of digits of the number
      while temp > 0:
          number_of_digits += 1
          temp //= 1_0
      # Dividing number into separate digits and find Armstrong number
      __UpperCAmelCase									=			n
      while temp > 0:
          __UpperCAmelCase									=			temp % 1_0
          total += rem**number_of_digits
          temp //= 1_0
      return n == total
  
  
  def       __a       (   SCREAMING_SNAKE_CASE      )      ->     bool:
  
  
  
  
  
  
      '''simple docstring'''
      if not isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      ) or n < 1:
          return False
  
      # Init a "histogram" of the digits
      __UpperCAmelCase									=			[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
      __UpperCAmelCase									=			0
      __UpperCAmelCase									=			0
      __UpperCAmelCase									=			n
      while temp > 0:
          __UpperCAmelCase					,     __UpperCAmelCase									=			divmod(SCREAMING_SNAKE_CASE       ,   1_0      )
          digit_histogram[rem] += 1
          digit_total += 1
  
      for cnt, i in zip(SCREAMING_SNAKE_CASE       ,   range(len(SCREAMING_SNAKE_CASE      )      )      ):
          total += cnt * i**digit_total
  
      return n == total
  
  
  def       __a       (   SCREAMING_SNAKE_CASE      )      ->     bool:
  
  
  
  
  
  
      '''simple docstring'''
      if not isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      ) or n < 1:
          return False
      __UpperCAmelCase									=			len(str(SCREAMING_SNAKE_CASE      )      )  # the power that all digits will be raised to
      # check if sum of each digit multiplied expo times is equal to number
      return n == sum(int(SCREAMING_SNAKE_CASE      ) ** expo for i in str(SCREAMING_SNAKE_CASE      )      )
  
  
  def       __a       (   )      ->     Optional[Any]:
  
  
  
  
  
  
      '''simple docstring'''
      __UpperCAmelCase									=			int(input('''Enter an integer to see if it is an Armstrong number: '''      ).strip()      )
      print(f'''{num} is {'' if armstrong_number(SCREAMING_SNAKE_CASE      ) else 'not '}an Armstrong number.'''      )
      print(f'''{num} is {'' if narcissistic_number(SCREAMING_SNAKE_CASE      ) else 'not '}an Armstrong number.'''      )
      print(f'''{num} is {'' if pluperfect_number(SCREAMING_SNAKE_CASE      ) else 'not '}an Armstrong number.'''      )
  
  
  if __name__ == "__main__":
         import doctest
  
         doctest.testmod()
         main()
  
  
  
  
  
  
style_context: 
  
  import copy
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  from ..auto.configuration_auto import AutoConfig
  
  
  A_		:			int										=   logging.get_logger(__name__)
  class 					A_   (      _a						):
  
  
      '''simple docstring'''
  
  
  
  
  
  
      a__     							=       "speech-encoder-decoder"
      a__     							=       True
  
  
      def __init__(self     ,      **lowercase__  )     ->      Optional[int]:
          super().__init__(**lowercase__  )
          if "encoder" not in kwargs or "decoder" not in kwargs:
              raise ValueError(
                  F'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
                  F''' `decoder` sub-configurations are passed, but only {kwargs}'''  )
  
          __UpperCAmelCase									=			kwargs.pop('''encoder'''  )
          __UpperCAmelCase									=			encoder_config.pop('''model_type'''  )
          __UpperCAmelCase									=			kwargs.pop('''decoder'''  )
          __UpperCAmelCase									=			decoder_config.pop('''model_type'''  )
  
          __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
          __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
          __UpperCAmelCase									=			True
  
  
      @classmethod
      def      lowerCAmelCase_						(cls     ,      lowercase__     ,      lowercase__     ,      **lowercase__  )     ->      PretrainedConfig:
          logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''  )
          __UpperCAmelCase									=			True
          __UpperCAmelCase									=			True
  
          return cls(encoder=encoder_config.to_dict()     ,      decoder=decoder_config.to_dict()     ,      **lowercase__  )
  
  
  
  
  
  
      def      lowerCAmelCase_						(self  )     ->      Optional[Any]:
          __UpperCAmelCase									=			copy.deepcopy(self.__dict__  )
          __UpperCAmelCase									=			self.encoder.to_dict()
          __UpperCAmelCase									=			self.decoder.to_dict()
          __UpperCAmelCase									=			self.__class__.model_type
          return output
  
  
  
  
  