code: def assertSamplePosNeg(self, sample):
      num_pos = np.sum((sample > 0.0), axis=0, keepdims=True)
      num_neg = np.sum((sample < 0.0), axis=0, keepdims=True)
      self.assertTrue((num_pos > 0).all())
      self.assertTrue((num_neg > 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 1 for calling the test_transform_class obj's underlying member method code with example usage: obj.assertSamplePosNeg(sample) without return types