code: def testAssignMovingAverageNewNamingMultipleCalls(self):
      with variable_scope.variable_scope("scope1") as vs1:
          with variable_scope.variable_scope("scope2"):
              var = variables.Variable(1.0, name="Var")
              moving_averages.assign_moving_average(var, 0.0, 0.99)
              moving_averages.assign_moving_average(var, 0.0, 0.99)
      expected_names = [
          "scope1/scope2/Var:0",
          "scope1/scope2/scope1/scope2/Var/biased:0",
          "scope1/scope2/scope1/scope2/Var/local_step:0",
          "scope1/scope2/scope1/scope2/Var/biased_1:0",
          "scope1/scope2/scope1/scope2/Var/local_step_1:0",
      ]
      actual_names = [v.name for v in vs1.global_variables()]
      self.assertSetEqual(set(expected_names), set(actual_names))
  
imports: import numpy
  from tensorflow.python.compiler.xla.experimental import xla_sharding
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import moving_averages
  from tensorflow.python.training import saver
label_desc: Use image node_id 3 for calling the MovingAveragesTest obj's underlying member method code with example usage: obj.testAssignMovingAverageNewNamingMultipleCalls() without return types