input: from typing import List
  
  def scrape_latest_stock_prices(stocks: List[str]) -> List[str]:
      """Given a list of stock names, the function uses a web scraper to fetch the latest stock prices from a specific website.
      It returns a list of strings containing the stock name and its corresponding price.
      Example:
      >>> scrape_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 300.00.", "The price of FB stocks is 400.00.", "The price of GOOG stocks is 2500.00."]
      """
      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 price
  
      results = []
      for stock in stocks:
          price = get_stock_price(stock)
          results.append(f'The price of {stock} is {price}.')
      return results
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 price
  
      results = []
      for stock in stocks:
          price = get_stock_price(stock)
          results.append(f'The price of {stock} is {price}.')
      return results