code: def test_decompose_fit_false():
      X = np.array([[1, 2, 3, 4, 5, 6], [1, 1, 1.2, 1, 0.8, 1]])
      (W, H) = librosa.decompose.decompose(X, fit=False)
  
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 6 for calling a global function with example usage: test_decompose_fit_false() without return types