input: 
  def classify_sentiment(review: str) -> str:
      """ Classifies the sentiment of a movie review using the Vader sentiment analysis tool.
      >>> classify_sentiment('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(review)
  
      if scores['neg'] > scores['pos']:
          return 'The sentiment of the sentence is negative!'
      else:
          return 'The sentiment of the sentence is positive!'
  
output:     
      elif scores['neg'] < scores['pos']:
          return 'The sentiment of the sentence is positive!'
      else:
          return 'The sentiment of the sentence is neutral!'
  