code: def __init__(self, g, fanouts):
      self.g = g
      self.fanouts = fanouts
  
imports: import argparse
  import math
  import time
  import traceback
  import dgl
  import dgl.function
  import dgl.nn.pytorch
  import numpy
  import torch
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import tqdm
  from dgl.data import RedditDataset
  from torch.nn.parallel import DistributedDataParallel
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 to create a new NeighborSampler object from inherited base classes: object with example: obj = NeighborSampler(g, fanouts)