code: def join(self, t2, unique=False):
          
  
          x_v1 = np.concatenate((self.x, t2.x), axis=0)
          y_v1 = np.concatenate((self.y, t2.y), axis=0)
  
          ## remove any duplicates
  
          if not unique:
              a = np.ascontiguousarray(np.vstack((x_v1, y_v1)).T)
              unique_a = np.unique(a.view([('', a.dtype)]*a.shape[1]))
              unique_coords = unique_a.view(a.dtype).reshape((unique_a.shape[0], a.shape[1]))
  
              x_v1 = unique_coords[:,0]
              y_v1 = unique_coords[:,1]
  
          return x_v1, y_v1
docs: Join this triangulation with another. If the points are known to have no duplicates, then
          set unique=False to skip the testing and duplicate removal