code: def test_coo2csc(sparse_graph_1):
      data = sparse_graph_1
  
      g = SparseGraph(
          size=data.size,
          src_ids=data.src_ids,
          dst_ids=data.dst_ids,
          values=data.values,
          formats=["csc"],
      )
      cdst_ids, src_ids, values = g.csc()
  
      new = torch.sparse_csc_tensor(cdst_ids, src_ids, values).cuda()
      old = torch.sparse_coo_tensor(
          torch.vstack((data.src_ids, data.dst_ids)), data.values
      ).cuda()
      torch.allclose(new.to_dense(), old.to_dense())
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_coo2csc(sparse_graph_1) without return types