code: def test_metrics_add(second_operand, expected_result):
      """Test that `add` operator works and returns a compositional metric."""
      first_metric = DummyMetric(2)
  
      final_add = first_metric + second_operand
      final_radd = second_operand + first_metric
  
      assert isinstance(final_add, CompositionalMetric)
      assert isinstance(final_radd, CompositionalMetric)
  
      final_add.update()
      final_radd.update()
  
      assert torch.allclose(expected_result, final_add.compute())
      assert torch.allclose(expected_result, final_radd.compute())
  
imports: from operator import neg, pos
  from typing import Any
  import pytest
  import torch
  from torch import tensor
  from torchmetrics.metric import CompositionalMetric, Metric
label_desc: Use image node_id 1 for calling a global function with example usage: test_metrics_add(second_operand, expected_result) without return types