code: def test_model_have_same_len():
      y_true = np.array([1, 1, 0])
      y_1 = np.array([0, 1, 0])
      y_2 = np.array([1, 1, 0])
      y_3 = np.array([1, 1])
  
      assert_raises(
          ValueError,
          (
              "Each prediction array must have"
              " the same number of samples."
          ),
          cochrans_q,
          y_true,
          y_1,
          y_2,
          y_3,
      )
  
file_path: mlxtend/mlxtend/evaluate/tests/test_cochran_q.py
imports: import numpy
  from mlxtend.evaluate import cochrans_q, mcnemar, mcnemar_table
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 3 for calling a global function with example usage: test_model_have_same_len() without return types