code: def test_metrics_truediv(second_operand, expected_result):
      """Test that `truediv` operator works and returns a compositional metric."""
      first_metric = DummyMetric(6)
  
      final_truediv = first_metric / second_operand
  
      assert isinstance(final_truediv, CompositionalMetric)
      final_truediv.update()
      assert torch.allclose(expected_result, final_truediv.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 22 for calling a global function with example usage: test_metrics_truediv(second_operand, expected_result) without return types