code: def test_metrics_xor(second_operand, expected_result):
      """Test that `xor` operator works and returns a compositional metric."""
      first_metric = DummyMetric([-1, -2, 3])
  
      final_xor = first_metric ^ second_operand
      final_rxor = second_operand ^ first_metric
  
      assert isinstance(final_xor, CompositionalMetric)
      assert isinstance(final_rxor, CompositionalMetric)
  
      final_xor.update()
      final_rxor.update()
      assert torch.allclose(expected_result, final_xor.compute())
      assert torch.allclose(expected_result, final_rxor.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 23 for calling a global function with example usage: test_metrics_xor(second_operand, expected_result) without return types