code: def testPmfZeros(self):
      dist = multinomial.Multinomial(
          1000, probs=[0.7, 0.0, 0.3], validate_args=True
      )
      x = [489, 0, 511]
      dist2 = binomial.Binomial(1000, probs=0.7)
      self.assertAllClose(
          dist2.log_prob(x[0]), dist.log_prob(x), rtol=1e-5
      )
  
imports: import unittest
  from absl.testing import parameterized
  import hypothesis
  from hypothesis import strategies
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import binomial
  from tensorflow_probability.python.distributions import hypothesis_testlib
  from tensorflow_probability.python.distributions import multinomial
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 18 for calling the MultinomialTest obj's underlying member method code with example usage: obj.testPmfZeros() without return types