code: def test_args(self):
      with self.test_session():
          x = Normal(-100.0, 1.0)
          y = ed.transform(x, bijectors.Softplus())
          sample = y.sample(10).eval()
          self.assertTrue((sample >= 0.0).all())
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import edward
  import numpy
  import tensorflow
  from collections import namedtuple
  from edward.models import Beta, Dirichlet, DirichletProcess, Gamma, MultivariateNormalDiag, Normal, Poisson, TransformedDistribution
  from tensorflow.contrib.distributions import bijectors
label_desc: Use image node_id 2 for calling the test_transform_class obj's underlying member method code with example usage: obj.test_args() without return types