code: def test_metrics_floordiv(second_operand, expected_result):
      """Test that `floordiv` operator works and returns a compositional metric."""
      first_metric = DummyMetric(5)
  
      final_floordiv = first_metric // second_operand
  
      assert isinstance(final_floordiv, CompositionalMetric)
  
      final_floordiv.update()
      assert torch.allclose(expected_result, final_floordiv.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 4 for calling a global function with example usage: test_metrics_floordiv(second_operand, expected_result) without return types