code: def get_reporter(mode, *args, **kwargs):
      """Attempts to get the reporter specified by the mode
      and reverts to a generic one if it is not available
  
      Arguments
      ---------
      mode: str
          a string identifier for a registered hyperparametr
          optimization mode, corresponding to a specific reporter
          instance
  
      Returns
      -------
      reporter: HyperparameterOptimizationReporter
          a reporter instance
  
      Example
      -------
      >>> reporter = get_reporter("generic", objective_key="error")
      >>> result = {"error": 3.4, "train_loss": 1.2}
      >>> reporter.report_objective(result)
      {"error": 3.4, "train_loss": 1.2, "objective": 3.4}
      """
      reporter_cls = _hpopt_modes.get(mode)
      if reporter_cls is None:
          logger.warning(
              f"hpopt_mode {mode} is not supported, reverting to generic"
          )
          reporter_cls = _hpopt_modes[DEFAULT_REPORTER]
      reporter = reporter_cls(*args, **kwargs)
      if not reporter.is_available:
          logger.warning("Reverting to a generic reporter")
          reporter_cls = _hpopt_modes[DEFAULT_REPORTER]
          reporter = reporter_cls(*args, **kwargs)
      return reporter
  
imports: import importlib
  import logging
  import json
  import os
  import speechbrain
  import sys
  from datetime import datetime
  from hyperpyyaml import load_hyperpyyaml
label_desc: Use image node_id 2 for calling a global function with example usage: get_reporter(mode) and returns: reporter