code: def test_binary_with_numpy():
      y_targ = np.array([1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0])
      y_pred = np.array([1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0])
      x = 1.25
      y = lift_score(y_targ, y_pred, binary=False, positive_label=1)
      assert_array_equal(x, y)
  
file_path: mlxtend/mlxtend/evaluate/tests/test_lift_score.py
imports: import numpy
  from numpy.testing import assert_array_equal, assert_raises
  from mlxtend.evaluate import lift_score
  from mlxtend.evaluate.lift_score import support
label_desc: Use image node_id 4 for calling a global function with example usage: test_binary_with_numpy() without return types