code: def test_default_decompose():
      X = np.array([[1, 2, 3, 4, 5, 6], [1, 1, 1.2, 1, 0.8, 1]])
  
      (W, H) = librosa.decompose.decompose(X, random_state=0)
  
      assert np.allclose(X, W.dot(H), rtol=1e-2, atol=1e-2)
  
imports: import os
  import numpy
  import scipy.sparse
  import librosa
  import sklearn.decomposition
  import pytest
  from test_core import srand
label_desc: Use image node_id 1 for calling a global function with example usage: test_default_decompose() without return types