input: def classify_sentiment_of_movie_reviews(user_review: str) -> str:
      """ This function classifies the sentiment of the provided movie review using
      VADER Sentiment Analysis. It outputs a message indicating whether the sentiment 
      of the review is negative or positive based on the sentiment scores.
      >>> classify_sentiment_of_movie_reviews('The movie was terrible. It felt like it would never end!')
      'The sentiment of the sentence is negative!'
      """
      import nltk
      from nltk.sentiment import vader
      
      sid = vader.SentimentIntensityAnalyzer()
      scores = sid.polarity_scores(user_review)
      
      if scores['neg'] > scores['pos']:
          return 'The sentiment of the sentence is negative!'
      else:
          return 'The sentiment of the sentence is positive!'
output:     import nltk
      from nltk.sentiment import vader
      
      sid = vader.SentimentIntensityAnalyzer()
      scores = sid.polarity_scores(user_review)
      
      if scores['neg'] > scores['pos']:
          return 'The sentiment of the sentence is negative!'
      else:
          return 'The sentiment of the sentence is positive!'