code: def testAssignMovingAverageNewNamingMultipleCallsWithReuse(self):
      with variable_scope.variable_scope("scope1") as vs1:
          var = variable_scope.get_variable("Var", shape=[])
          moving_averages.assign_moving_average(var, 0.0, 0.99)
          moving_averages.assign_moving_average(var, 0.0, 0.99)
      with variable_scope.variable_scope(vs1, reuse=True):
          var = variable_scope.get_variable("Var", shape=[])
          moving_averages.assign_moving_average(var, 0.0, 0.99)
          moving_averages.assign_moving_average(var, 0.0, 0.99)
  
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 4 for calling the MovingAveragesTest obj's underlying member method code with example usage: obj.testAssignMovingAverageNewNamingMultipleCallsWithReuse() without return types