code: def test_shuffle():
      X = np.array([[1], [2], [3]])
      y = np.array([1, 2, 3])
      est = BlankModel(print_progress=0, random_seed=1)
      X_sh, y_sh = est._shuffle_arrays(arrays=[X, np.array(y)])
      np.testing.assert_equal(X_sh, np.array([[1], [3], [2]]))
      np.testing.assert_equal(y_sh, np.array([1, 3, 2]))
  
file_path: mlxtend/mlxtend/_base/tests/test_iterative_model.py
imports: import numpy
  from mlxtend._base import _IterativeModel
label_desc: Use image node_id 2 for calling a global function with example usage: test_shuffle() without return types