input: 
  import nltk
  from nltk.sentiment import vader
  
  def classify_sentiment(review: str) -> str:
      """
      Classify the sentiment of a movie review using VADER sentiment analysis.
      The function will print whether the sentiment of the review is positive or negative.
  
      >>> classify_sentiment('The movie was terrible. It felt like it would never end!')
      The sentiment of the sentence is negative!
      >>> classify_sentiment('What an amazing film! I loved every minute of it.')
      The sentiment of the sentence is positive!
      """
      sid = vader.SentimentIntensityAnalyzer()
      scores = sid.polarity_scores(review)
  
      if scores['neg'] > scores['pos']:
          print('The sentiment of the sentence is negative!')
      else:
          print('The sentiment of the sentence is positive!')
  
output:     sid = vader.SentimentIntensityAnalyzer()
      scores = sid.polarity_scores(review)
  
      if scores['neg'] > scores['pos']:
          print('The sentiment of the sentence is negative!')
      else:
          print('The sentiment of the sentence is positive!')