code: def testWrapClass(self):
      # Normally a mirrored value would be the same across devices, but
      # for a test it is convenient to be able to tell the values apart.
      result = distribute_utils.regroup(
          (_nested_value("1"), _nested_value("2")), values.Mirrored
      )
      self.assertIsInstance(result, tuple)
      self.assertLen(result, 3)
      self._is_per_replica(result[0], ["a1", "a2"], values.Mirrored)
      self._is_per_replica(result[2], ["h1", "h2"], values.Mirrored)
  
      self.assertIsInstance(result[1], list)
      self.assertLen(result[1], 3)
      self._is_per_replica(result[1][0], ["b1", "b2"], values.Mirrored)
      self._is_per_replica(result[1][2], ["g1", "g2"], values.Mirrored)
  
      self.assertIsInstance(result[1][1], dict)
      self.assertEqual(set(["c", "e"]), set(result[1][1].keys()))
      self._is_per_replica(
          result[1][1]["c"], ["d1", "d2"], values.Mirrored
      )
      self._is_per_replica(
          result[1][1]["e"], ["f1", "f2"], values.Mirrored
      )
  
      # Also test that we can undo the merge using select_replica()
      self.assertEqual(
          _nested_value("1"), distribute_utils.select_replica(0, result)
      )
      self.assertEqual(
          _nested_value("2"), distribute_utils.select_replica(1, result)
      )
      # Values are marked as mirrored, so select_device_mirrored() is allowed.
      self.assertEqual(
          _nested_value("1"),
          distribute_utils.select_replica_mirrored(0, result),
      )
      self.assertEqual(
          _nested_value("2"),
          distribute_utils.select_replica_mirrored(1, result),
      )
  
imports: import collections
  import collections.abc
  from absl.testing import parameterized
  import wrapt
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_utils
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import context
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.saved_model.model_utils import mode_keys
label_desc: Use image node_id 5 for calling the RegroupAndSelectDeviceTest obj's underlying member method code with example usage: obj.testWrapClass() without return types