class_docstr: Test cases for random-number generating operators.
code: def testShuffle1d(self):
      with self.session():
          with self.test_scope():
              x = math_ops.range(1 << 16)
              shuffle = random_ops.random_shuffle(x)
          result = self.evaluate(shuffle)
          expected = range(1 << 16)
          # Compare sets to avoid randomness behavior changes but make sure still
          # have all the values.
          self.assertAllEqual(set(result), set(expected))
  
imports: import math
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops.distributions import special_math
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 16 for calling the RandomOpsTest obj's underlying member method code with example usage: obj.testShuffle1d() without return types