code: def save_noisy_scores(self, batch_id, scores):
      for i, score in zip(batch_id, scores):
          self.noisy_scores[i] = score
  
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 6 for calling the MetricGanBrain obj's underlying member method code with example usage: obj.save_noisy_scores(batch_id, scores) without return types