input: from typing import List
  
  def predict_house_price(features: List[float]) -> float:
      """ Predicts the price of a house using a neural network given a set of features.
      >>> predict_house_price([0.8, 0.4, 0.7])
      92.457
      """
output:     weights = [0.2, 0.5, 0.3]
      bias = 10.0
      price = sum(f * w for f, w in zip(features, weights)) + bias
      return round(price, 3)