code: def testEntropyNoBatch(self):
      p = 0.2
      dist = probit_bernoulli.ProbitBernoulli(
          probs=p, validate_args=True
      )
      self.assertAllClose(self.evaluate(dist.entropy()), entropy(p))
  
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 15 for calling the ProbitBernoulliTest obj's underlying member method code with example usage: obj.testEntropyNoBatch() without return types