code: def _compute_x_labels_major(self):
      # In case of dual, x labels must adapters and so majors too
      self.x_labels_major = self.x_labels_major and list(
          map(self._x_adapt, self.x_labels_major)
      )
      super(Dual, self)._compute_x_labels_major()
  
imports: from pygal.graph.graph import Graph
  from pygal.util import compute_scale, cut
label_desc: Use image node_id 3 for calling the Dual obj's underlying member method code with example usage: obj._compute_x_labels_major() without return types