code: def testDeepCopy(self, distribution, synchronization, aggregation):
      if not context.executing_eagerly():
          self.skipTest("deepcopy only supported in eager mode")
  
      with distribution.scope():
          v = variables_lib.Variable(
              0.0,
              synchronization=synchronization,
              aggregation=aggregation,
          )
          in_dist_copy = copy.deepcopy(v)
  
      out_dist_copy = copy.deepcopy(v)
  
      def assert_is_deep_copy(v1, v2):
          self.assertIsInstance(v2, type(v1))
          self.assertEqual(v1.aggregation, v2.aggregation)
          self.assertEqual(
              v1.distribute_strategy, v2.distribute_strategy
          )
          if isinstance(v1, ps_values.AggregatingVariable):
              self.assertIsInstance(v2.get(), type(v1.get()))
              self.assertNotEqual(id(v1.get()), id(v2.get()))
          else:
              if v1._policy:
                  self.assertNotEqual(
                      id(v1._policy), id(v2._policy)
                  )  # pylint: disable=protected-access
              else:
                  self.assertEqual(
                      id(v1._policy), id(v2._policy)
                  )  # pylint: disable=protected-access
              self.assertEqual(len(v1.values), len(v2.values))
              for v1v, v2v in zip(v1.values, v2.values):
                  self.assertEqual(v1v.device, v2v.device)
                  self.assertNotEqual(id(v1v), id(v2v))
                  self.assertAllEqual(
                      self.evaluate(v1.values), self.evaluate(v2.values)
                  )
  
      self.evaluate(variables_lib.global_variables_initializer())
      if not isinstance(
          distribution.extended, tpu_strategy.TPUExtended
      ):
          distribution.run(assert_is_deep_copy, args=(v, in_dist_copy))
          distribution.run(assert_is_deep_copy, args=(v, out_dist_copy))
  
imports: import copy
  import os
  from absl.testing import parameterized
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_options
  from tensorflow.python.distribute import collective_all_reduce_strategy
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import distribute_utils
  from tensorflow.python.distribute import packed_distributed_variable
  from tensorflow.python.distribute import parameter_server_strategy
  from tensorflow.python.distribute import ps_values
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.saved_model import save
  from tensorflow.python.saved_model import save_context
  from tensorflow.python.saved_model import save_options
  from tensorflow.python.types import core
label_desc: Use image node_id 8 for calling the DistributedVariableTest obj's underlying member method code with example usage: obj.testDeepCopy(distribution, synchronization, aggregation) without return types