input: def classify_movie_review_sentiment(review: str) -> str:
      """ Classify the sentiment of a movie review using VADER sentiment analysis.
      >>> classify_movie_review_sentiment('The movie was terrible. It felt like it would never end!')
      'The sentiment of the sentence is negative!'
      >>> classify_movie_review_sentiment('It was an amazing experience. I loved every moment of it!')
      'The sentiment of the sentence is positive!'
      """
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!'