input: 
  from typing import List
  
  def predict_house_price(features: List[float]) -> float:
      """ Predict the price of a house given a set of features using a pre-trained neural network.
      >>> predict_house_price([0.8, 0.4, 0.7])
      350000.0
      """
  
output:     # Pre-trained weights and biases for the neural network
      weights = [100000.0, 200000.0, 150000.0]
      bias = 50000.0
  
      # Calculate the predicted price using the neural network model
      predicted_price = sum(w * f for w, f in zip(weights, features)) + bias
  
      return predicted_price