code: def test_metrics_invert():
      """Test that `invert` operator works and returns a compositional metric."""
      first_metric = DummyMetric(1)
  
      final_inverse = ~first_metric
      assert isinstance(final_inverse, CompositionalMetric)
      final_inverse.update()
      assert torch.allclose(tensor(-2), final_inverse.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 25 for calling a global function with example usage: test_metrics_invert() without return types