code: def test_spectral_flatness_multi(s_multi):
      S, sr = s_multi
  
      # compare each channel
      C0 = librosa.feature.spectral_flatness(S=S[0])
      C1 = librosa.feature.spectral_flatness(S=S[1])
      Call = librosa.feature.spectral_flatness(S=S)
  
      # Check each channel
      assert np.allclose(C0, Call[0], atol=1e-5)
      assert np.allclose(C1, Call[1])
  
      # Verify that they're not all the same
      assert not np.allclose(Call[0], Call[1])
  
imports: import os
  import librosa
  import glob
  import numpy
  import scipy.io
  import scipy.stats
  import pytest
  import warnings
  from unittest import mock
  from typing import List, Union
  from contextlib import nullcontext
  from test_core import srand
label_desc: Use image node_id 24 for calling a global function with example usage: test_spectral_flatness_multi(s_multi) without return types