code: def __init__(self, g, idx, sampler, offset, feats, label):
      super().__init__(g, idx, sampler)
      self.offset = offset
      self.feats = feats
      self.label = label
  
imports: import argparse
  import math
  import sys
  from collections import OrderedDict
  import dgl
  import dgl.nn
  import numpy
  import torch
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  import tqdm
  from ogb.lsc import MAG240MDataset, MAG240MEvaluator
  from torch.nn.parallel import DistributedDataParallel
label_desc: Use image node_id 1 to create a new ExternalNodeCollator object from inherited base classes: dgl.dataloading with example: obj = ExternalNodeCollator(g, idx, sampler, offset, feats, label)