code: def testUniformIntsDegenerate(self):
      for dt in dtypes.int32, dtypes.int64:
  
          def sample(n):
              return self._Sampler(
                  n, minv=0, maxv=0, dtype=dt, use_gpu=True
              )()
  
          self.assertEqual(sample(0).shape, (10, 0))
          with self.assertRaisesOpError(
              "Need minval < maxval, got 0 >= 0"
          ):
              sample(1)
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the RandomUniformTest obj's underlying member method code with example usage: obj.testUniformIntsDegenerate() and returns: self