code: def setUp(self):
      super(GammaSoftplusTest, self).setUp()
      self.dtype = np.float32
      c = 2.1
      self.model = family.GammaSoftplus(c)
      self.expected = family.CustomExponentialFamily(
          lambda mean: gamma.Gamma(concentration=c, rate=1.0 / mean),
          tf.nn.softplus,
      )
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bernoulli
  from tensorflow_probability.python.distributions import binomial
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import lognormal
  from tensorflow_probability.python.distributions import negative_binomial
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import poisson
  from tensorflow_probability.python.glm import family
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the GammaSoftplusTest obj's underlying member method code with example usage: obj.setUp() without return types