code: def assert_column_mean_unchanged(X, **kwargs):
      mean = X.mean(axis=0)
      for X_sh in iter_shuffled(X, **kwargs):
          assert np.allclose(mean, X_sh.mean(axis=0))
  
file_path: eli5/tests/test_permutation_importance.py
imports: from __future__ import absolute_import
  import numpy
  from sklearn.svm import SVR
  from eli5.permutation_importance import iter_shuffled, get_score_importances
label_desc: Use image node_id 1 for calling a global function with example usage: assert_column_mean_unchanged(X) without return types