code: def load_history(self):
      if os.path.isfile(self.hparams.historical_file):
          with open(
              self.hparams.historical_file, "rb"
          ) as fp:  # Unpickling
              self.historical_set = pickle.load(fp)
  
imports: import os
  import sys
  import shutil
  import pickle
  import torch
  import torchaudio
  import speechbrain
  from pesq import pesq
  from enum import Enum, auto
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.utils.metric_stats import MetricStats
  from speechbrain.processing.features import spectral_magnitude
  from speechbrain.nnet.loss.stoi_loss import stoi_loss
  from speechbrain.utils.distributed import run_on_main
  from speechbrain.dataio.sampler import ReproducibleWeightedRandomSampler
label_desc: Use image node_id 1 for calling the MetricGanBrain obj's underlying member method code with example usage: obj.load_history() without return types