code: def testZeroCountsResultsInPmfEqualToOne(self):
      # There is only one way for zero items to be selected, and this happens with
      # probability 1.
      alpha = [5, 0.5]
      counts = [0.0, 0]
      with self.cached_session():
          dist = ds.DirichletMultinomial(0.0, alpha)
          pmf = dist.prob(counts)
          self.assertAllClose(1.0, self.evaluate(pmf))
          self.assertEqual((), pmf.get_shape())
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import dirichlet_multinomial
  from tensorflow.python.platform import test
label_desc: Use image node_id 21 for calling the DirichletMultinomialTest obj's underlying member method code with example usage: obj.testZeroCountsResultsInPmfEqualToOne() without return types