code: def testSampleCorrectMarginals(self, total_counts, probs, index):
      if tf.executing_eagerly():
          raise unittest.SkipTest(
              "testSampleCorrectMarginals is too slow to test in Eager mode"
          )
      dist = multinomial.Multinomial(total_counts, probs=probs)
      self.propSampleCorrectMarginals(dist, index)
  
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 27 for calling the MultinomialTest obj's underlying member method code with example usage: obj.testSampleCorrectMarginals(total_counts, probs, index) without return types