input: Write a function to visually summarize the Twitter data. The function should process the Twitter data and provide a summary of tweet authors, number of likes, and number of retweets using Matplotlib. 
  
  def summarize_twitter_data(data):
      import matplotlib.pyplot as plt
      
      # Process the Twitter data to extract the relevant data fields
      authors = [tweet['author'] for tweet in data]
      num_tweets = [authors.count(author) for author in set(authors)]
      tweets = [tweet['text'] for tweet in data]
      num_likes = [tweet['likes'] for tweet in data]
      num_retweets = [tweet['retweets'] for tweet in data]
      
      # Plot the tweet authors
      plt.xlabel('Tweet Authors')
      plt.ylabel('Number of tweets')
      plt.title('Tweet Author Summary')
      plt.bar(list(set(authors)), num_tweets)
      plt.show()
      
      # Plot the number of likes
      plt.xlabel('Tweets')
      plt.ylabel('Number of Likes')
      plt.title('Number of Likes Summary')
      plt.bar(tweets, num_likes)
      plt.show()
      
      # Plot the number of retweets
      plt.xlabel('Tweets')
      plt.ylabel('Number of Retweets')
      plt.title('Number of Retweets Summary')
      plt.bar(tweets, num_retweets)
      plt.show()
  
  assert summarize_twitter_data([{'author': 'Alice', 'date': '2023-01-01', 'text': 'Hello', 'likes': 10, 'retweets': 5}, {'author': 'Bob', 'date': '2023-01-02', 'text': 'Hi', 'likes': 15, 'retweets': 3}])
  assert summarize_twitter_data([{'author': 'Alice', 'date': '2023-01-01', 'text': 'Hello', 'likes': 20, 'retweets': 10}])
  assert summarize_twitter_data([{'author': 'Bob', 'date': '2023-01-02', 'text': 'Hi', 'likes': 5, 'retweets': 2}])
  assert summarize_twitter_data([])
output: import matplotlib.pyplot as plt
  
  def summarize_twitter_data(data):
      if not data:
          return
      
      authors = [tweet['author'] for tweet in data]
      num_tweets = [authors.count(author) for author in set(authors)]
      tweets = [tweet['text'] for tweet in data]
      num_likes = [tweet['likes'] for tweet in data]
      num_retweets = [tweet['retweets'] for tweet in data]
      
      plt.figure(figsize=(12, 4))
      
      plt.subplot(1, 3, 1)
      plt.xlabel('Tweet Authors')
      plt.ylabel('Number of tweets')
      plt.title('Tweet Author Summary')
      plt.bar(list(set(authors)), num_tweets)
      
      plt.subplot(1, 3, 2)
      plt.xlabel('Tweets')
      plt.ylabel('Number of Likes')
      plt.title('Number of Likes Summary')
      plt.bar(tweets, num_likes)
      
      plt.subplot(1, 3, 3)
      plt.xlabel('Tweets')
      plt.ylabel('Number of Retweets')
      plt.title('Number of Retweets Summary')
      plt.bar(tweets, num_retweets)
      
      plt.tight_layout()
      plt.show()