code: def test_horizoned_mase(self):
      y = np.array([1, 2, 3, 4, 5])
      yhat = np.array([1.1, 1.9, 3.1, 3.9, 4.9])
      y_obs = np.array([10, 20, 30, 40, 50])
      np.testing.assert_allclose(
          [0.005, 0.005, 0.005, 0.005, 0.005],
          metrics.horizoned_mase(y, yhat, y_obs, 2),
      )
  
file_path: probability/tensorflow_probability/python/experimental/timeseries/metrics_test.py
imports: import numpy
  from tensorflow_probability.python.experimental.timeseries import metrics
  from absl.testing import absltest
label_desc: Use image node_id 4 for calling the MetricsTest obj's underlying member method code with example usage: obj.test_horizoned_mase() without return types