code: def testTraceback(self, distribution, synchronization, aggregation):
      if context.executing_eagerly():
          self.skipTest("does not apply to eager")
      with distribution.scope():
          variable_scope.get_variable(
              name="testVar",
              initializer=1.0,
              use_resource=True,
              synchronization=synchronization,
              aggregation=aggregation,
          )
          with self.assertRaisesRegex(
              ValueError, "Variable testVar already exists"
          ):
              variable_scope.get_variable(
                  name="testVar",
                  initializer=1.0,
                  use_resource=True,
                  synchronization=synchronization,
                  aggregation=aggregation,
              )
  
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 4 for calling the DistributedVariableTest obj's underlying member method code with example usage: obj.testTraceback(distribution, synchronization, aggregation) without return types