code: def testLogProbCornerCase(self):
      d = beta_binomial.BetaBinomial(
          concentration0=2e-8, concentration1=1.0, total_count=1.0
      )
      # Numerically 0 is better than numerically +inf
      self.assertAllEqual(d.log_prob(1.0), 0.0)
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bernoulli
  from tensorflow_probability.python.distributions import beta_binomial
  from tensorflow_probability.python.distributions import dirichlet_multinomial
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 8 for calling the BetaBinomialTest obj's underlying member method code with example usage: obj.testLogProbCornerCase() without return types