code: def test_timelag_filter():
      srand()
      X = np.random.randn(15, 15)
      d_pos0 = librosa.segment.timelag_filter(lambda X: X)
      assert np.allclose(X, d_pos0(X))
  
imports: from typing import Union
  import warnings
  import os
  import numpy
  import scipy
  from scipy.spatial.distance import cdist, pdist, squareform
  import pytest
  from test_core import srand
  import librosa
label_desc: Use image node_id 32 for calling a global function with example usage: test_timelag_filter() without return types