input: def analyze_sentiment(text: str) -> str:
      """ Analyze the sentiment of the given text and return 'positive', 'negative', or 'neutral'.
      >>> analyze_sentiment("I love programming. It's really enjoyable.")
      'positive'
      >>> analyze_sentiment("I hate spiders. They scare me.")
      'negative'
      >>> analyze_sentiment("Today is a regular day.")
      'neutral'
      """
output:     positive_words = ["love", "enjoyable", "good", "great"]
      negative_words = ["hate", "scare", "bad", "terrible"]
      
      words = text.lower().split()
      positive_count = sum(word in positive_words for word in words)
      negative_count = sum(word in negative_words for word in words)
      
      if positive_count > negative_count:
          return 'positive'
      elif negative_count > positive_count:
          return 'negative'
      else:
          return 'neutral'