code: def test(data):
      model.eval()
      return model.test(
          head_index=data.edge_index[0],
          rel_type=data.edge_type,
          tail_index=data.edge_index[1],
          batch_size=20000,
          k=10,
      )
  
imports: import argparse
  import os.path
  import torch
  import torch.optim
  from torch_geometric.datasets import FB15k_237
  from torch_geometric.nn import ComplEx, DistMult, RotatE, TransE
label_desc: Use image node_id 2 for calling a global function with example usage: test(data) and returns: model