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 model.
      >>> predict_house_price([0.8, 0.4, 0.7])
      0.0
      """
output:     model = [0.2, 0.3, 0.5]
      price = sum(f * w for f, w in zip(features, model))
      return price