code: def sample(self):
          "Return a random sample from the distribution."
          if self.sampler is None:
              self.sampler = weighted_sampler(self.dictionary.keys(),
                                              self.dictionary.values())
          return self.sampler(f sample(self):
          "Return a random sample from the distribution."
          if self.sampler is None:
              self.sampler = weighted_sampler(self.dictionary.keys(),
                                              self.dictionary.values())
          return self.sampler()
docs: Return a random sample from the distribution.