code: def test_unweighted(self):
      mse_obj = reduction_metrics.MeanMetricWrapper(
          fn=mse, name="mse", dtype="float32"
      )
      y_true = np.array(
          [
              [0, 1, 0, 1, 0],
              [0, 0, 1, 1, 1],
              [1, 1, 1, 1, 0],
              [0, 0, 0, 0, 1],
          ]
      )
      y_pred = np.array(
          [
              [0, 0, 1, 1, 0],
              [1, 1, 1, 1, 1],
              [0, 1, 0, 1, 0],
              [1, 1, 1, 1, 1],
          ]
      )
  
      mse_obj.update_state(y_true, y_pred)
      result = mse_obj.result()
      self.assertAllClose(0.5, result, atol=1e-5)
  
imports: import numpy
  from keras import testing
  from keras.metrics import reduction_metrics
  from keras.saving import register_keras_serializable
label_desc: Use image node_id 2 for calling the MetricWrapperTest obj's underlying member method code with example usage: obj.test_unweighted() without return types