code: def setUp(self):
      super(BinomialTest, self).setUp()
      self.dtype = np.float32
      n = 2.0
      self.model = family.Binomial(n)
      self.expected = family.CustomExponentialFamily(
          lambda mu: binomial.Binomial(n, probs=mu / n),
          lambda r: n * tf.math.sigmoid(r),
      )
  
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 BinomialTest obj's underlying member method code with example usage: obj.setUp() without return types