text: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import edward as ed
  import numpy as np
  import tensorflow as tf
  
  from edward.models import Normal, PointMass
  
  
  class test_map_class(tf.test.TestCase):
  
    def test_normalnormal_run(self):
      with self.test_session() as sess:
        x_data = np.array([0.0] * 50, dtype=np.float32)
  
        mu = Normal(loc=0.0, scale=1.0)
        x = Normal(loc=mu, scale=1.0, sample_shape=50)
  
        qmu = PointMass(params=tf.Variable(1.0))
  
        # analytic solution: N(loc=0.0, scale=\sqrt{1/51}=0.140)
        inference = ed.MAP({mu: qmu}, data={x: x_data})
        inference.run(n_iter=1000)
  
        self.assertAllClose(qmu.mean().eval(), 0)
  
  if __name__ == '__main__':
    ed.set_seed(42)
    tf.test.main()
  