input: Write a function to scrape the table at the given URL and extract the planets information (name, mass, and distance from the sun). The function should return a list of dictionaries, where each dictionary contains the name, mass, and distance from the sun of a planet.
  
  def scrape_planets_info(url):
   import requests
   from bs4 import BeautifulSoup
   
   page = requests.get(url)
   soup = BeautifulSoup(page.content, 'lxml')
   
   planets_table = soup.find('table', class_='wikitable sortable')
   
   planets = []
   for row in planets_table.find_all('tr'):
   if row.find('th'):
   continue
   cells = row.find_all('td')
   planets.append({
   'name': cells[0].text,
   'mass': cells[2].text,
   'distance_from_sun': cells[5].text
   })
   
   return planets
  
  assert scrape_planets_info('https://en.wikipedia.org/wiki/List_of_gravitationally_rounded_objects_of_the_Solar_System') != []
  assert 'Mercury' in [planet['name'] for planet in scrape_planets_info('https://en.wikipedia.org/wiki/List_of_gravitationally_rounded_objects_of_the_Solar_System')]
  assert '1.5 Billion km' in [planet['distance_from_sun'] for planet in scrape_planets_info('https://en.wikipedia.org/wiki/List_of_gravitationally_rounded_objects_of_the_Solar_System')]
output: 
  def scrape_planets_info(url):
   import requests
   from bs4 import BeautifulSoup
   
   page = requests.get(url)
   soup = BeautifulSoup(page.content, 'lxml')
   
   planets_table = soup.find('table', class_='wikitable sortable')
   
   planets = []
   for row in planets_table.find_all('tr'):
   if row.find('th'):
   continue
   cells = row.find_all('td')
   planets.append({
   'name': cells[0].text.strip(),
   'mass': cells[2].text.strip(),
   'distance_from_sun': cells[5].text.strip()
   })
   
   return planets
  