old_contents: #!/usr/bin/env python
  """
  Returns: A list of words that have been stemmed using the chosen method
  Given: A list of strings representing a tokenized collection of words.
  There are three stemming algorithms available: The Porter stemmer,
  the Lancaster stemmer, and the Snowball stemmer.
  """
  from nltk.stem.snowball import EnglishStemmer
  from nltk.stem.lancaster import LancasterStemmer
  from nltk.stem.porter import PorterStemmer
  class StemmerPorter:
      def __init__(self):
          pass
      def run(self, data):
          porter = PorterStemmer()
          for corpus in data:
              corpusString = ""
              corpus.tokenized_contents = [porter.stem(word) for word in corpus.tokenized_contents]
              for index, word in enumerate(corpus.tokenized_contents):
                  corpusString += corpus.tokenized_contents[index] + " "
              
              print(corpusString)
              corpus.contents = corpusString
  
          return data
  
new_contents: #!/usr/bin/env python
  """
  Returns: A list of words that have been stemmed using the chosen method
  Given: A list of strings representing a tokenized collection of words.
  There are three stemming algorithms available: The Porter stemmer,
  the Lancaster stemmer, and the Snowball stemmer.
  """
  from nltk.stem.porter import PorterStemmer
  class StemmerPorter:
      def __init__(self):
          pass
      def run(self, data):
          porter = PorterStemmer()
          for corpus in data:
              corpusString = ""
              corpus.tokenized_contents = [porter.stem(word) for word in corpus.tokenized_contents]
              for index, word in enumerate(corpus.tokenized_contents):
                  corpusString += corpus.tokenized_contents[index] + " "
              
              corpus.contents = corpusString
  
          return data
  
subject: Remove unnessescary print statement