input: Write a python function to scrape and return product reviews from a given URL.
  assert scrape_reviews('https://www.example.com/product')==[['5.0 out of 5 stars', 'Reviewed in the United States on January 1, 2021', 'Great product!'], ['4.0 out of 5 stars', 'Reviewed in the United States on February 1, 2021', 'Good value for money']]
  assert scrape_reviews('https://www.example.com/product2')==[['3.0 out of 5 stars', 'Reviewed in the United States on March 1, 2021', 'Average quality'], ['2.0 out of 5 stars', 'Reviewed in the United States on April 1, 2021', 'Not satisfied']]
output: import requests
  from bs4 import BeautifulSoup
  
  def scrape_reviews(url):
      response = requests.get(url)
      soup = BeautifulSoup(response.content, 'html.parser')
      
      reviews = []
      review_blocks = soup.find_all('div', {'class': 'review'})
      
      for block in review_blocks:
          rating = block.find('span', {'class': 'review-rating'}).text.strip()
          date = block.find('span', {'class': 'review-date'}).text.strip()
          content = block.find('div', {'class': 'review-content'}).text.strip()
          reviews.append([rating, date, content])
      
      return reviews