input: from typing import Dict
  
  def classify_sentiment(review: str) -> Dict[str, float]:
      """
      Classify the sentiment of a movie review using Natural Language Processing.
      Returns a dictionary with sentiment scores.
  
      >>> classify_sentiment('The movie was terrible. It felt like it would never end!')
      {'neg': 0.694, 'neu': 0.306, 'pos': 0.0, 'compound': -0.834}
      """
      from nltk.sentiment import vader
      sid = vader.SentimentIntensityAnalyzer()
      return sid.polarity_scores(review)
output:     from nltk.sentiment import vader
      sid = vader.SentimentIntensityAnalyzer()
      return sid.polarity_scores(review)