code: def test_list(self):
      with self.test_session() as sess:
          N, D, w_true, X_train, y_train, X, w, b, y = self._setup()
  
          # INFERENCE
          inference = ed.Laplace([w, b], data={X: X_train, y: y_train})
          inference.run(n_iter=100)
  
          qw = inference.latent_vars[w]
          qb = inference.latent_vars[b]
          self._test(sess, qw, qb, w_true)
  
file_path: edward/tests/inferences/laplace_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import edward
  import numpy
  import tensorflow
  from edward.models import MultivariateNormalDiag, MultivariateNormalTriL, Normal
label_desc: Use image node_id 3 for calling the test_laplace_class obj's underlying member method code with example usage: obj.test_list() without return types