code: def sampleset(self):
          
          x1, x4 = self.bounding_box
          dw = self.width * 0.5
          x2 = self.x_0 - dw
          x3 = self.x_0 + dw
  
          if self._n_models == 1:
              w = [x1, x2, x3, x4]
          else:
              w = list(zip(x1, x2, x3, x4))
  
          return np.asarray(w)
docs: Return ``x`` array that samples the feature.