code: def test_mel_norm(norm):
      M = librosa.filters.mel(sr=22050, n_fft=2048, norm=norm)
      if norm == 1:
          assert np.allclose(np.sum(np.abs(M), axis=1), 1)
      elif norm == 2:
          assert np.allclose(np.sum(np.abs(M**2), axis=1), 1)
      elif norm == np.inf:
          assert np.allclose(np.max(np.abs(M), axis=1), 1)
  
imports: import os
  from contextlib import nullcontext
  import warnings
  import glob
  import numpy
  import scipy.io
  import scipy.signal
  from typing import Any, ContextManager
  import pytest
  import librosa
label_desc: Use image node_id 8 for calling a global function with example usage: test_mel_norm(norm) without return types