code: def test_unweighted(self):
      scce_obj = metrics.SparseCategoricalCrossentropy()
  
      y_true = np.array([1, 2])
      y_pred = np.array([[0.05, 0.95, 0], [0.1, 0.8, 0.1]])
      result = scce_obj(y_true, y_pred)
      self.assertAllClose(result, 1.176, atol=1e-3)
  
imports: import numpy
  from keras import metrics
  from keras import testing
label_desc: Use image node_id 2 for calling the SparseCategoricalCrossentropyTest obj's underlying member method code with example usage: obj.test_unweighted() without return types