code: def get_learning_rate(self, iter):
          '''
          Get learning rate with exponential decay based on current iteration.
  
          Args:
              iter (int): Current iteration (starting with 0).
  
          Returns:
              float: Learning rate
          '''
          lr = self.init_lr
          for iter_step in self.iter_steps:
              if iter >= iter_step:
                  lr *= self.gamma
          return lf get_learning_rate(self, iter):
          '''
          Get learning rate with exponential decay based on current iteration.
  
          Args:
              iter (int): Current iteration (starting with 0).
  
          Returns:
              float: Learning rate
          '''
          lr = self.init_lr
          for iter_step in self.iter_steps:
              if iter >= iter_step:
                  lr *= self.gamma
          return lr
docs: Get learning rate with exponential decay based on current iteration.
  
          Args:
              iter (int): Current iteration (starting with 0).
  
          Returns:
              float: Learning rate