code: def _testScopedExportWithQueue(self, test_dir, exported_filename):
      graph = ops.Graph()
      with graph.as_default():
          with ops.name_scope("queue1"):
              input_queue = data_flow_ops.FIFOQueue(10, dtypes.float32)
              enqueue = input_queue.enqueue((9876), name="enqueue")
              close = input_queue.close(name="close")
              qr = queue_runner_impl.QueueRunner(
                  input_queue, [enqueue], close
              )
              queue_runner_impl.add_queue_runner(qr)
              input_queue.dequeue(name="dequeue")
  
          orig_meta_graph, _ = meta_graph.export_scoped_meta_graph(
              filename=os.path.join(test_dir, exported_filename),
              graph=ops.get_default_graph(),
              export_scope="queue1",
          )
  
      return orig_meta_graph
  
imports: import math
  import os.path
  import random
  import shutil
  from tensorflow.core.framework import graph_pb2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import function
  from tensorflow.python.framework import meta_graph
  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 cond
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import metrics
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import test
  from tensorflow.python.training import queue_runner_impl
label_desc: Use image node_id 10 for calling the ScopedMetaGraphTest obj's underlying member method code with example usage: obj._testScopedExportWithQueue(test_dir, exported_filename) and returns: orig_meta_graph