code: 
  
  def       __a       (   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )      ->     List[str]:
  
  
  
  
  
  
      '''simple docstring'''
      # "Simpson Rule"
      # int(f) = delta_x/2 * (b-a)/3*(f1 + 4f2 + 2f_3 + ... + fn)
      __UpperCAmelCase									=			(boundary[1] - boundary[0]) / steps
      __UpperCAmelCase									=			boundary[0]
      __UpperCAmelCase									=			boundary[1]
      __UpperCAmelCase									=			make_points(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )
      __UpperCAmelCase									=			0.0
      y += (h / 3.0) * f(SCREAMING_SNAKE_CASE      )
      __UpperCAmelCase									=			2
      for i in x_i:
          y += (h / 3) * (4 - 2 * (cnt % 2)) * f(SCREAMING_SNAKE_CASE      )
          cnt += 1
      y += (h / 3.0) * f(SCREAMING_SNAKE_CASE      )
      return y
  
  
  def       __a       (   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )      ->     str:
  
  
  
  
  
  
      '''simple docstring'''
      __UpperCAmelCase									=			a + h
      while x < (b - h):
          yield x
          __UpperCAmelCase									=			x + h
  
  
  def       __a       (   SCREAMING_SNAKE_CASE      )      ->     Union[str, Any]:  # enter your function here
  
  
  
  
  
  
      '''simple docstring'''
      __UpperCAmelCase									=			(x - 0) * (x - 0)
      return y
  
  
  def       __a       (   )      ->     List[str]:
  
  
  
  
  
  
      '''simple docstring'''
      __UpperCAmelCase									=			0.0  # Lower bound of integration
      __UpperCAmelCase									=			1.0  # Upper bound of integration
      __UpperCAmelCase									=			10.0  # define number of steps or resolution
      __UpperCAmelCase									=			[a, b]  # define boundary of integration
      __UpperCAmelCase									=			method_a(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )
      print(f'''y = {y}'''      )
  
  
  if __name__ == "__main__":
         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
  
  
  
  
  