input: Write a python function to automate the extraction of property prices from a real estate website using Selenium.
  assert scrape_property_prices("San Francisco") == ["$1,000,000", "$1,200,000", "$950,000"]
  assert scrape_property_prices("New York") == ["$2,500,000", "$3,200,000", "$2,800,000"]
  assert scrape_property_prices("Los Angeles") == ["$850,000", "$1,300,000", "$1,750,000"]
output: def scrape_property_prices(city):
      from selenium import webdriver
      from selenium.webdriver.common.by import By
      from selenium.webdriver.common.keys import Keys
      import time
  
      # Set up the WebDriver (assuming the path to your chromedriver is set correctly)
      driver = webdriver.Chrome()
  
      # Navigate to the real estate website (assuming a generic URL)
      driver.get("http://example-realestate-website.com")
  
      # Find the search box and enter the city name
      search_box = driver.find_element(By.NAME, "search")
      search_box.send_keys(city)
      search_box.send_keys(Keys.RETURN)
  
      # Wait for the results to load
      time.sleep(5)
  
      # Extract property prices (assuming prices are in elements with class name 'price')
      prices_elements = driver.find_elements(By.CLASS_NAME, "price")
      prices = [elem.text for elem in prices_elements]
  
      # Clean up and close the browser
      driver.quit()
  
      return prices