code: def test_multiclass():
      y_targ = [1, 1, 1, 0, 0, 2, 0, 3]
      y_pred = [1, 0, 1, 0, 0, 2, 1, 3]
      x = np.array(
          [[2, 1, 0, 0], [1, 2, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]
      )
      y = confusion_matrix(
          y_targ, y_pred, binary=False, positive_label=1
      )
      assert_array_equal(x, y)
  
imports: import numpy
  from numpy.testing import assert_array_equal
  from mlxtend.evaluate import confusion_matrix
label_desc: Use image node_id 1 for calling a global function with example usage: test_multiclass() without return types