docstr: Tests that non_deterministic_ints returns different results every time.
  
  This test is flaky, but with very low probability of failing.
code: def testNonDeterministicInts(self):
      """Tests that non_deterministic_ints returns different results every time.
  
      This test is flaky, but with very low probability of failing.
      """
      shape = [2, 3]
      dtype = dtypes.int64
      a = random.non_deterministic_ints(shape=shape, dtype=dtype)
      self.assertAllEqual(shape, a.shape)
      self.assertEqual(dtype, a.dtype)
      b = random.non_deterministic_ints(shape, dtype=dtype)
      self.assertAllDifferent([a, b])
  
imports: import os
  import re
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.random import util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import gen_stateful_random_ops
  from tensorflow.python.ops import logging_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import stateful_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.testNonDeterministicInts() without return types