input: Write a python function to analyze the sentiment of a given sentence and return the sentiment scores.
  assert sentiment_scores("This is an amazing product!") == {'neg': 0.0, 'neu': 0.406, 'pos': 0.594, 'compound': 0.8235}
  assert sentiment_scores("I am not happy with this service.") == {'neg': 0.357, 'neu': 0.643, 'pos': 0.0, 'compound': -0.4767}
  assert sentiment_scores("It was an average experience.") == {'neg': 0.0, 'neu': 0.676, 'pos': 0.324, 'compound': 0.3612}
output: def sentiment_scores(sentence):
      from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
      analyzer = SentimentIntensityAnalyzer()
      scores = analyzer.polarity_scores(sentence)
      return scores