code: def load_label(label_path, inds, tot):
      with open(label_path) as f:
          labels = [line.rstrip() for line in f]
          assert (
              len(labels) == tot
          ), f"number of labels does not match ({len(labels)} != {tot})"
          labels = [labels[i] for i in inds]
      return labels
  
imports: import itertools
  import logging
  import os
  import sys
  from typing import Any, List, Optional, Union
  import numpy
  import torch
  import torch.nn.functional
  from fairseq.data import data_utils
  from fairseq.data.fairseq_dataset import FairseqDataset
  from fairseq.data.audio.audio_utils import parse_path, read_from_stored_zip
  import io
label_desc: Use image node_id 2 for calling a global function with example usage: load_label(label_path, inds, tot) and returns: labels