input: Write a function to scrape product data from an online web store using Python BeautifulSoup. The function should make a GET request to fetch the raw HTML content, parse it, and extract the name, price, and description of each product. It should then print this data.
  
  def scrape_products():
      import requests
      from bs4 import BeautifulSoup
      
      # Make a GET request to fetch the raw HTML content
      html_content = requests.get('http://web-store.com').text
      
      # Parse the html content
      soup = BeautifulSoup(html_content, "lxml")
      
      # Get the product data
      products = soup.find_all('div', attrs={"itemprop": "product"})
      for product in products:
          name = product.find("span", attrs={"itemprop": "name"}).text
          price = product.find("span", attrs={"itemprop": "price"}).text
          description = product.find("span", attrs={"itemprop": "description"}).text
          print(name, price, description)
  
  # Test cases
  scrape_products()
output: def scrape_products():
      import requests
      from bs4 import BeautifulSoup
      
      # Make a GET request to fetch the raw HTML content
      html_content = requests.get('http://web-store.com').text
      
      # Parse the html content
      soup = BeautifulSoup(html_content, "lxml")
      
      # Get the product data
      products = soup.find_all('div', attrs={"itemprop": "product"})
      for product in products:
          name = product.find("span", attrs={"itemprop": "name"}).text
          price = product.find("span", attrs={"itemprop": "price"}).text
          description = product.find("span", attrs={"itemprop": "description"}).text
          print(name, price, description)