code: def test_path_enhance_multi():
      srand()
  
      R = np.random.randn(2, 100, 100)
  
      Rs0 = librosa.segment.path_enhance(R[0], n=5)
      Rs1 = librosa.segment.path_enhance(R[1], n=5)
      Rs = librosa.segment.path_enhance(R, n=5)
  
      assert np.allclose(Rs0, Rs[0])
      assert np.allclose(Rs1, Rs[1])
      assert not np.allclose(Rs0, Rs1)
  
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 42 for calling a global function with example usage: test_path_enhance_multi() without return types