code: def test_cross_similarity_full():
      data = np.eye(10)
      data_ref = np.eye(10)
      rec = librosa.segment.cross_similarity(
          data, data_ref, mode="distance", full=True
      )
      assert np.all(rec >= 0)
  
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 5 for calling a global function with example usage: test_cross_similarity_full() without return types