input: 
  def predict_house_price(living_area: int, num_rooms: float) -> float:
      """ Predict the housing price based on the given living area and number of rooms using a linear regression model.
      >>> predict_house_price(2200, 3)
      67000.0
      """
      data = [[2000, 3], [1600, 2.5], [2400, 3.5], [1400, 2], [3000, 4]]
      prices = [75000, 43000, 59000, 32000, 85000]
  
      import numpy as np
      from sklearn import linear_model
  
      X = np.array(data)
      y = np.array(prices)
  
      model = linear_model.LinearRegression()
      model.fit(X, y)
  
      prediction = model.predict([[living_area, num_rooms]])
      return prediction[0]
  
output:     return prediction[0]