input: from typing import Any
  
  def classify_sentiment(review: str) -> Any:
      """
      Classify the sentiment of a movie review using the VADER sentiment analysis tool.
      The function will print whether the sentiment 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('It was an amazing film with a great ending.')
      The sentiment of the sentence is positive!
      """
      import nltk
      from nltk.sentiment import vader
      
      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:     import nltk
      from nltk.sentiment import vader
      
      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!')