code: def testNproperty(self):
      alpha = [[1.0, 2, 3]]
      n = [[5.0]]
      dist = dm.DirichletMultinomial(n, alpha, validate_args=True)
      self.assertEqual([1, 1], dist.total_count.shape)
      self.assertAllClose(n, self.evaluate(dist.total_count))
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import dirichlet_multinomial
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 4 for calling the DirichletMultinomialTest obj's underlying member method code with example usage: obj.testNproperty() without return types