code: def sample(self, edge_idx):
      num_nodes = self.adj_t.sparse_size(0)
      batch = torch.randint(
          0, num_nodes, (2 * len(edge_idx),), dtype=torch.long
      )
      return super(NegativeLinkNeighborSampler, self).sample(batch)
  
imports: import argparse
  from tqdm.auto import tqdm
  import torch
  import torch.nn.functional
  from torch.utils.data import DataLoader
  from torch_geometric.data import NeighborSampler
  from torch_geometric.nn import SAGEConv
  from torch_geometric.utils import to_undirected
  from ogb.linkproppred import PygLinkPropPredDataset, Evaluator
  from logger import Logger
label_desc: Use image node_id 2 for calling the NegativeLinkNeighborSampler obj's underlying member method code with example usage: obj.sample(edge_idx) and returns: super