code: def testBroadcasting(self):
      probs = lambda p: tf1.placeholder_with_default(p, shape=None)
      dist = lambda p: probit_bernoulli.ProbitBernoulli(  # pylint: disable=g-long-lambda
          probs=probs(p), validate_args=True
      )
      self.assertAllClose(
          np.log(0.5), self.evaluate(dist(0.5).log_prob(1))
      )
      self.assertAllClose(
          np.log([0.5, 0.5, 0.5]),
          self.evaluate(dist(0.5).log_prob([1, 1, 1])),
      )
      self.assertAllClose(
          np.log([0.5, 0.5, 0.5]),
          self.evaluate(dist([0.5, 0.5, 0.5]).log_prob(1)),
      )
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import probit_bernoulli
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 12 for calling the ProbitBernoulliTest obj's underlying member method code with example usage: obj.testBroadcasting() without return types