code: def test_my_conv_out_of_bounds():
      x = torch.randn(3, 8)
      value = torch.randn(4)
  
      conv = MyConv(8, 32)
  
      with pytest.raises(IndexError, match="valid indices"):
          edge_index = torch.tensor([[-1, 1, 2, 2], [0, 0, 1, 1]])
          conv(x, edge_index, value)
  
      with pytest.raises(IndexError, match="valid indices"):
          edge_index = torch.tensor([[0, 1, 2, 3], [0, 0, 1, 1]])
          conv(x, edge_index, value)
  
imports: import copy
  from typing import Tuple, Union
  import pytest
  import torch
  from torch import Tensor
  from torch.nn import Linear
  import torch_geometric.typing
  from torch_geometric.nn import MessagePassing, aggr
  from torch_geometric.typing import Adj, OptPairTensor, OptTensor, Size, SparseTensor
  from torch_geometric.utils import add_self_loops, scatter, spmm, to_torch_csc_tensor
label_desc: Use image node_id 2 for calling a global function with example usage: test_my_conv_out_of_bounds() without return types