code: def testPmfBothZeroBatches(self):
      with self.cached_session():
          # Both zero-batches.  No broadcast
          p = [0.5, 0.5]
          counts = [1.0, 0]
          pmf = multinomial.Multinomial(total_count=1.0, probs=p).prob(
              counts
          )
          self.assertAllClose(0.5, 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 multinomial
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the MultinomialTest obj's underlying member method code with example usage: obj.testPmfBothZeroBatches() without return types