code: def test_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])
      self.assertAlmostEqual(0.005, metrics.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 3 for calling the MetricsTest obj's underlying member method code with example usage: obj.test_mase() without return types