code: def testUniformNans(self):
      a = 10.0
      b = [11.0, 100.0]
      uniform = uniform_lib.Uniform(low=a, high=b)
  
      no_nans = constant_op.constant(1.0)
      nans = constant_op.constant(0.0) / constant_op.constant(0.0)
      self.assertTrue(self.evaluate(math_ops.is_nan(nans)))
      with_nans = array_ops_stack.stack([no_nans, nans])
  
      pdf = uniform.prob(with_nans)
  
      is_nan = self.evaluate(math_ops.is_nan(pdf))
      self.assertFalse(is_nan[0])
      self.assertTrue(is_nan[1])
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import uniform
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 13 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformNans() without return types