code: def test_run_glue_adapters(self):
      stream_handler = logging.StreamHandler(sys.stdout)
      logger.addHandler(stream_handler)
  
      tmp_dir = self.get_auto_remove_tmp_dir()
      testargs = f"""
              run_glue.py
              --model_name_or_path bert-base-uncased
              --output_dir {tmp_dir}
              --overwrite_output_dir
              --train_file ./tests/fixtures/samples/MRPC/train.csv
              --validation_file ./tests/fixtures/samples/MRPC/dev.csv
              --do_train
              --do_eval
              --per_device_train_batch_size=2
              --per_device_eval_batch_size=1
              --learning_rate=5e-4
              --max_steps=10
              --warmup_steps=2
              --seed=42
              --max_seq_length=128
              --train_adapter
              --adapter_config=double_seq_bn
              """.split()
      with patch.object(sys, "argv", testargs):
          run_glue.main()
          result = get_results(tmp_dir)
          self.assertGreaterEqual(result["eval_accuracy"], 0.75)
  
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 1 for calling the AdapterExamplesTests obj's underlying member method code with example usage: obj.test_run_glue_adapters() without return types