code: def _process_(nth_process, optimizer):
      if "progress_bar" in optimizer.verbosity:
          p_bar = tqdm(
              position=nth_process,
              total=optimizer.n_iter,
              ascii=" ─",
              colour="Yellow",
          )
      else:
          p_bar = None
  
      optimizer.search(nth_process, p_bar)
  
      if p_bar:
          p_bar.colour = "GREEN"
          p_bar.refresh()
          p_bar.close()
  
      return {
          "nth_process": nth_process,
          "best_para": optimizer.best_para,
          "best_score": optimizer.best_score,
          "best_iter": optimizer.best_since_iter,
          "eval_times": optimizer.eval_times,
          "iter_times": optimizer.iter_times,
          "search_data": optimizer.search_data,
          "random_seed": optimizer.random_seed,
      }
  
label_desc: Use image node_id 1 for calling a global function with example usage: _process_(nth_process, optimizer) and returns: dict