code: def test_fastica_nowhiten():
      m = [[0, 1], [1, 0]]
  
      # test for issue #697
      ica = FastICA(n_components=1, whiten=False, random_state=0)
      warn_msg = "Ignoring n_components with whiten=False."
      with pytest.warns(UserWarning, match=warn_msg):
          ica.fit(m)
      assert hasattr(ica, "mixing_")
  
imports: import itertools
  import os
  import warnings
  import numpy
  import pytest
  from scipy import stats
  from sklearn.decomposition import PCA, FastICA, fastica
  from sklearn.decomposition._fastica import _gs_decorrelation
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.utils._testing import assert_allclose
label_desc: Use image node_id 6 for calling a global function with example usage: test_fastica_nowhiten() without return types