code: def testBetaWithSoftplusConcentration(self):
      a, b = -4.2, -9.1
      dist = beta_lib.BetaWithSoftplusConcentration(a, b)
      self.assertAllClose(
          self.evaluate(nn_ops.softplus(a)),
          self.evaluate(dist.concentration1),
      )
      self.assertAllClose(
          self.evaluate(nn_ops.softplus(b)),
          self.evaluate(dist.concentration0),
      )
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.distributions import beta
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 27 for calling the BetaTest obj's underlying member method code with example usage: obj.testBetaWithSoftplusConcentration() without return types