input: def classify_sentiment(review: str) -> str:
      """
      Uses VADER to classify the sentiment of a given movie review.
      
      >>> classify_sentiment('The movie was terrible. It felt like it would never end!')
      'The sentiment of the sentence is negative!'
      >>> classify_sentiment('It was an incredible experience. I loved every minute of it.')
      'The sentiment of the sentence is positive!'
      """
      pass
output:     from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
      analyzer = SentimentIntensityAnalyzer()
      sentiment_scores = analyzer.polarity_scores(review)
      if sentiment_scores['compound'] >= 0.05:
          return 'The sentiment of the sentence is positive!'
      elif sentiment_scores['compound'] <= -0.05:
          return 'The sentiment of the sentence is negative!'
      else:
          return 'The sentiment of the sentence is neutral!'