code: def hpopt_mode(mode):
      """A decorator to register a reporter implementation for
      a hyperparameter optimization mode
  
      Arguments
      ---------
      mode: str
          the mode to register
  
      Returns
      -------
      f: callable
          a callable function that registers and returns the
          reporter class
  
      Example
      -------
      >>> @hpopt_mode("raw")
      ... class RawHyperparameterOptimizationReporter(HyperparameterOptimizationReporter):
      ...    def __init__(self, *args, **kwargs):
      ...        super().__init__(    *args, **kwargs)
      ...    def report_objective(self, result):
      ...        objective = result[self.objective_key]
      ...        print(f"Objective: {objective}")
  
      >>> reporter = get_reporter("raw", objective_key="error")
      >>> result = {"error": 1.2, "train_loss": 7.2}
      >>> reporter.report_objective(result)
      Objective: 1.2
      """
  
      def f(cls):
          """ "Call the function that registers and returns the reporter class"""
          _hpopt_modes[mode] = cls
          return cls
  
      return f
  
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 1 for calling a global function with example usage: hpopt_mode(mode) and returns: f, cls