code: def process_events(self):
      sub = torch.randint(self.num_nodes, (64,), dtype=torch.long)
      rel = torch.randint(self.num_rels, (64,), dtype=torch.long)
      obj = torch.randint(self.num_nodes, (64,), dtype=torch.long)
      t = (
          torch.arange(8, dtype=torch.long)
          .view(-1, 1)
          .repeat(1, 8)
          .view(-1)
      )
      return torch.stack([sub, rel, obj, t], dim=1)
  
file_path: pytorch_geometric/test/nn/models/test_re_net.py
imports: import torch
  from torch_geometric.datasets.icews import EventDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import RENet
  from torch_geometric.testing import is_full_test
label_desc: Use image node_id 6 for calling the MyTestEventDataset obj's underlying member method code with example usage: obj.process_events() and returns: torch