code: def test_metrics_lt(second_operand, expected_result):
      """Test that `lt` operator works and returns a compositional metric."""
      first_metric = DummyMetric(5)
  
      final_lt = first_metric < second_operand
  
      assert isinstance(final_lt, CompositionalMetric)
  
      final_lt.update()
      # can't use allclose for bool tensors
      assert (expected_result == final_lt.compute()).all()
  
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 8 for calling a global function with example usage: test_metrics_lt(second_operand, expected_result) without return types