input: def extract_verbs(sentence: str) -> list:
      """ Extracts and returns a list of verbs from the given sentence using nltk.
      >>> extract_verbs("The cat jumped over the moon.")
      ['jumped']
      >>> extract_verbs("She eats apples quickly.")
      ['eats', 'quickly']
      """
output:     from nltk import pos_tag, word_tokenize
      from nltk.corpus import wordnet as wn
  
      def is_verb(word):
          pos_info = pos_tag([word])
          return pos_info[0][1].startswith('VB')
  
      words = word_tokenize(sentence)
      verbs = [word for word in words if is_verb(word)]
      return verbs