code: def get_suggestion(
      self, trials, hparams, my_trial_id=None, model_dir=None
  ):
      """Suggests a new architecture for a Phoenix model.
  
      Note that this algorithm performs on top of hparams oracle. Meaning, it will
      receive suggested trial hparams, and determine the Phoenix
      architecture. This algorithm has the final say. We implemented a simple
      "Identity" algorithm, that passes oracle's suggestion as is, to benefit
      from the various hyper-parameter optimization algorithms already implemented
      as oracles.
  
      Args:
        trials: a list of metadata.trial.Trail
        hparams: The oracle's suggested hparams.
        my_trial_id: integer - the trial id which is making the call.
        model_dir: string - the model directory.
  
      Returns:
        (np.array(int), int) - an architecture a np.array of integers and an
        optional int representing the trial we forked from for snapshotting. Use
        None, if you are not forking from an existing trial.
      """
  
imports: import abc
label_desc: Use image node_id 1 for calling the SearchAlgorithm obj's underlying member method code with example usage: obj.get_suggestion(trials, hparams, my_trial_id, model_dir) without return types