input: from typing import List
  
  def get_latest_stock_prices(stock_names: List[str]) -> List[str]:
      """
      A web scraper to extract the latest stock prices from Yahoo Finance for the given list of stock names.
      >>> get_latest_stock_prices(["AAPL stocks", "MSFT stocks", "FB stocks", "GOOG stocks"])
      ["The price of AAPL stocks is $150.00.", "The price of MSFT stocks is $330.00.", "The price of FB stocks is $320.00.", "The price of GOOG stocks is $2700.00."]
      """
      import requests
      from bs4 import BeautifulSoup
      
      def get_stock_price(stock):
          url = f"https://finance.yahoo.com/quote/{stock}"
          response = requests.get(url)
          soup = BeautifulSoup(response.text, 'html.parser')
          price = soup.find('div', {'class': 'My(6px) Pos(r) smartphone_Mt(6px)'}).find('span').text
          return f'The price of {stock} is {price}.'
      
      prices = []
      for stock in stock_names:
          price = get_stock_price(stock)
          prices.append(price)
      
      return prices
output:     import requests
      from bs4 import BeautifulSoup
      
      def get_stock_price(stock):
          url = f"https://finance.yahoo.com/quote/{stock}"
          response = requests.get(url)
          soup = BeautifulSoup(response.text, 'html.parser')
          price = soup.find('div', {'class': 'My(6px) Pos(r) smartphone_Mt(6px)'}).find('span').text
          return f'The price of {stock} is {price}.'
      
      prices = []
      for stock in stock_names:
          price = get_stock_price(stock)
          prices.append(price)
      
      return prices