code: def testZeroP(self):
      prob = 0.0
      negbinom = negative_binomial.NegativeBinomial(
          total_count=3.0, probs=prob, validate_args=True
      )
      self.assertAllClose(prob, self.evaluate(negbinom.probs))
      self.assertAllClose(0.0, negbinom.prob(3))
      self.assertAllClose(1.0, negbinom.prob(0))
      self.assertAllClose(0.0, negbinom.log_prob(0))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import negative_binomial
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 5 for calling the NegativeBinomialTest obj's underlying member method code with example usage: obj.testZeroP() without return types