code: def train(self, s, path="spelling.txt"):
          
          model = {}
          for w in re.findall("[a-z]+", s.lower()):
              model[w] = w in model and model[w] + 1 or 1
          model = ("%s %s" % (k, v) for k, v in sorted(model.items()))
          model = "\n".join(model)
          f = open(path, "w")
          f.write(model)
          f.close()
docs: Counts the words in the given string and saves the probabilities at the given path.
              This can be used to generate a new model for the Spelling() constructor.