code: def dummy_training(cfg: DictConfig) -> float:
      """A dummy function to minimize
      Minimum is 0.0 at:
      lr = 0.12, dropout=0.33, db=mnist, batch_size=4
      """
      do = cfg.dropout
      bs = cfg.batch_size
      out = float(
          abs(do - 0.33)
          + int(cfg.db == "mnist")
          + abs(cfg.lr - 0.12)
          + abs(bs - 4)
      )
      log.info(
          f"dummy_training(dropout={do:.3f}, lr={cfg.lr:.3f}, db={cfg.db}, batch_size={bs}) = {out:.3f}",
      )
      if cfg.error:
          raise RuntimeError("cfg.error is True")
      return out
  
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_training(cfg) and returns: out