code: def make_lists(self, grid_priors):
          
          return optimizer.make_lists(len(grid_priors), step_size=self.hyper_step_size, centre_steps=False)
docs: Produces a list of lists of floats, where each list of floats represents the values in each dimension for one
          step of the grid search.
  
          Parameters
          ----------
          grid_priors: [p.Prior]
              A list of priors that are to be searched using the grid search.
  
          Returns
          -------
          lists: [[float]]