docs: def sample_cc(self, nsamples=1, weighted=True):
          """
          Returns a random polygon of any class. The probability of each polygon to be sampled
          is proportional to its area if weighted is True.
          """
          weights = self.areas / np.sum(self.areas) if weighted else None
          for index in np.random.choice(a=len(self.geometries), size=nsamples, p=weights):
              yield self.geometries[index]