code: def test_linkx(num_edge_layers):
      x = torch.randn(4, 16)
      edge_index = torch.tensor([[0, 1, 2], [1, 2, 3]])
      edge_weight = torch.rand(edge_index.size(1))
  
      model = LINKX(
          num_nodes=4,
          in_channels=16,
          hidden_channels=32,
          out_channels=8,
          num_layers=2,
          num_edge_layers=num_edge_layers,
      )
      assert (
          str(model)
          == "LINKX(num_nodes=4, in_channels=16, out_channels=8)"
      )
  
      out = model(x, edge_index)
      assert out.size() == (4, 8)
      if torch_geometric.typing.WITH_TORCH_SPARSE:
          adj = SparseTensor.from_edge_index(
              edge_index, sparse_sizes=(4, 4)
          )
          assert torch.allclose(out, model(x, adj.t()), atol=1e-6)
  
      if is_full_test():
          jit = torch.jit.script(model)
          assert torch.allclose(jit(x, edge_index), out)
  
          if torch_geometric.typing.WITH_TORCH_SPARSE:
              assert torch.allclose(jit(x, adj.t()), out, atol=1e-6)
  
      out = model(None, edge_index)
      assert out.size() == (4, 8)
      if torch_geometric.typing.WITH_TORCH_SPARSE:
          assert torch.allclose(out, model(None, adj.t()), atol=1e-6)
  
      out = model(x, edge_index, edge_weight)
      assert out.size() == (4, 8)
      if torch_geometric.typing.WITH_TORCH_SPARSE:
          adj = SparseTensor.from_edge_index(
              edge_index, edge_weight, sparse_sizes=(4, 4)
          )
          assert torch.allclose(model(x, adj.t()), out, atol=1e-6)
  
      out = model(None, edge_index, edge_weight)
      assert out.size() == (4, 8)
      if torch_geometric.typing.WITH_TORCH_SPARSE:
          assert torch.allclose(model(None, adj.t()), out, atol=1e-6)
  
imports: import pytest
  import torch
  import torch_geometric.typing
  from torch_geometric.nn import LINKX
  from torch_geometric.testing import is_full_test
  from torch_geometric.typing import SparseTensor
label_desc: Use image node_id 1 for calling a global function with example usage: test_linkx(num_edge_layers) without return types