input: Write a function to fetch the top 10 trending tweets containing a specific hashtag using Tweepy and return their full text.
  assert fetch_trending_tweets('#machinelearning') == list_of_tweets_containing_machinelearning
  assert fetch_trending_tweets('#python') == list_of_tweets_containing_python
  assert fetch_trending_tweets('#datascience') == list_of_tweets_containing_datascience
output: def fetch_trending_tweets(hashtag):
      import tweepy
      
      # Replace these with your own API keys from your Twitter developer account
      api_key = 'your_api_key'
      api_secret_key = 'your_api_secret_key'
      access_token = 'your_access_token'
      access_token_secret = 'your_access_token_secret'
      
      # Authenticate with the Twitter API
      auth = tweepy.OAuth1UserHandler(api_key, api_secret_key, access_token, access_token_secret)
      api = tweepy.API(auth)
      
      # Fetch the top 10 tweets containing the hashtag
      tweets = tweepy.Cursor(api.search_tweets, q=hashtag, tweet_mode='extended').items(10)
      
      # Extract and return the full text of the tweets
      return [tweet.full_text for tweet in tweets]