input: from typing import Dict
  
  def classify_sentiment(review: str) -> str:
      """Classify the sentiment of a movie review using Vader sentiment analysis.
      >>> classify_sentiment('The movie was terrible. It felt like it would never end!')
      'The sentiment of the sentence is negative!'
      >>> classify_sentiment('The movie was fantastic! I loved every minute of it.')
      'The sentiment of the sentence is positive!'
      """
      nltk.download('vader_lexicon')
      sid = vader.SentimentIntensityAnalyzer()
      scores = sid.polarity_scores(review)
      return 'The sentiment of the sentence is negative!' if scores['neg'] > scores['pos'] else 'The sentiment of the sentence is positive!'
output:     import nltk
      from nltk.sentiment import vader
      nltk.download('vader_lexicon')
      sid = vader.SentimentIntensityAnalyzer()
      scores = sid.polarity_scores(review)
      return 'The sentiment of the sentence is negative!' if scores['neg'] > scores['pos'] else 'The sentiment of the sentence is positive!'