input: from typing import Tuple
  
  def sentiment_analysis(movie_review: str) -> Tuple[bool, float]:
      """ Classify the sentiment of a given movie review using VADER sentiment analysis.
      Returns a tuple where the first element is a boolean indicating whether the 
      sentiment is negative (True) or positive (False), and the second element is 
      the compound score of the sentiment.
      >>> sentiment_analysis('The movie was terrible. It felt like it would never end!')
      (True, -0.6733)
      """
      import nltk
      from nltk.sentiment import vader
      
      sid = vader.SentimentIntensityAnalyzer()
      scores = sid.polarity_scores(movie_review)
      
      return (scores['neg'] > scores['pos'], scores['compound'])
output:     import nltk
      from nltk.sentiment import vader
      
      sid = vader.SentimentIntensityAnalyzer()
      scores = sid.polarity_scores(movie_review)
      
      return (scores['neg'] > scores['pos'], scores['compound'])