input: from typing import Dict
  from nltk.stem.snowball import SnowballStemmer
  from nltk.tokenize import word_tokenize
  from nltk.corpus import stopwords
  from nltk.sentiment.vader import SentimentIntensityAnalyzer
  import re
  
  def sentiment_analyzer(text: str) -> Dict[str, float]:
      """ Analyze the sentiment of the given text and return the polarity score.
      >>> sentiment_analyzer("I really love this movie!")
      {'neg': 0.0, 'neu': 0.262, 'pos': 0.738, 'compound': 0.8439}
      >>> sentiment_analyzer("I hate this weather!")
      {'neg': 0.629, 'neu': 0.371, 'pos': 0.0, 'compound': -0.5849}
      >>> sentiment_analyzer("This is an average day.")
      {'neg': 0.0, 'neu': 0.822, 'pos': 0.178, 'compound': 0.4404}
      """
output:     analyzer = SentimentIntensityAnalyzer()
      scores = analyzer.polarity_scores(text)
      return scores