code: def test_coalesce_add():
      row = torch.tensor([1, 0, 1, 0, 2, 1])
      col = torch.tensor([0, 1, 1, 1, 0, 0])
      index = torch.stack([row, col], dim=0)
      value = torch.tensor(
          [[1, 2], [2, 3], [3, 4], [4, 5], [5, 6], [6, 7]]
      )
  
      index, value = coalesce(index, value, m=3, n=2)
      assert index.tolist() == [[0, 1, 1, 2], [1, 0, 1, 0]]
      assert value.tolist() == [[6, 8], [7, 9], [3, 4], [5, 6]]
  
imports: import torch
  from torch_sparse import coalesce
label_desc: Use image node_id 2 for calling a global function with example usage: test_coalesce_add() without return types