code: def test_on_real_audio():
      """Test that metric works on real audio signal."""
      rate, ref = wavfile.read(_SAMPLE_AUDIO_SPEECH)
      rate, deg = wavfile.read(_SAMPLE_AUDIO_SPEECH_BAB_DB)
      assert torch.allclose(
          short_time_objective_intelligibility(
              torch.from_numpy(deg), torch.from_numpy(ref), rate
          ).float(),
          torch.tensor(0.6739177),
          rtol=0.0001,
          atol=1e-4,
      )
  
imports: from functools import partial
  import pytest
  import torch
  from pystoi import stoi
  from scipy.io import wavfile
  from torch import Tensor
  from torchmetrics.audio import ShortTimeObjectiveIntelligibility
  from torchmetrics.functional.audio import short_time_objective_intelligibility
  from unittests import _Input
  from unittests.audio import _SAMPLE_AUDIO_SPEECH, _SAMPLE_AUDIO_SPEECH_BAB_DB
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 4 for calling a global function with example usage: test_on_real_audio() without return types