code: def test_run_fusion_glue(self):
      stream_handler = logging.StreamHandler(sys.stdout)
      logger.addHandler(stream_handler)
  
      testargs = """
              run_fusion_glue.py
              --model_name_or_path bert-base-uncased
              --data_dir ./tests/fixtures/samples/MRPC/
              --task_name mrpc
              --do_train
              --do_eval
              --output_dir ./tests/fixtures/samples/temp_dir
              --per_device_train_batch_size=2
              --per_device_eval_batch_size=1
              --learning_rate=5e-5
              --max_steps=20
              --warmup_steps=2
              --overwrite_output_dir
              --seed=42
              --max_seq_length=128
              --train_adapter
              --adapter_config=double_seq_bn
              --load_adapter=qqp@ukp
              """.split()
      with patch.object(sys, "argv", testargs):
          result = run_fusion_glue.main()
          del result["eval_loss"]
          for value in result.values():
              self.assertGreaterEqual(value, 0.5)
  
imports: import json
  import logging
  import os
  import sys
  from unittest.mock import patch
  import torch
  from transformers.testing_utils import TestCasePlus, get_gpu_count, slow, torch_device
label_desc: Use image node_id 2 for calling the AdapterExamplesTests obj's underlying member method code with example usage: obj.test_run_fusion_glue() without return types