code: def test_standard():
      y_targ = [0, 0, 0, 1, 1, 1]
      y_pred = [0, 1, 1, 0, 1, 1]
  
      y = accuracy_score(y_targ, y_pred, method="standard")
      y_1 = accuracy_score(
          y_targ, y_pred, method="binary", normalize=False
      )
      assert_almost_equal(y, float(3) / 6, decimal=4)
      assert y_1 == 3
  
imports: import numpy
  from numpy.testing import assert_almost_equal
  from mlxtend.evaluate import accuracy_score
label_desc: Use image node_id 2 for calling a global function with example usage: test_standard() without return types