code: def test_mean_topk_accuracy() -> None:
      predicted_classes = torch.tensor(
          [
              [1, 2, 3, 4],
              [4, 1, 10, 0],
              [3, 1, 5, 8],
          ]
      )
      targets = torch.tensor([1, 10, 8])
      assert topk.mean_topk_accuracy(
          predicted_classes, targets, k=(1, 2, 3, 4, 5)
      ) == {
          1: 1 / 3,
          2: 1 / 3,
          3: 2 / 3,
          4: 1.0,
          5: 1.0,
      }
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_mean_topk_accuracy() without return types