code: def test_AgnewsProcessor():
      dataset_name = "agnews"
      dataset_path = os.path.join(base_path, dataset_name)
      processor = PROCESSORS[dataset_name.lower()]()
      trainvalid_dataset = processor.get_train_examples(dataset_path)
      test_dataset = processor.get_test_examples(dataset_path)
  
      assert processor.get_num_labels() == 4
      assert processor.get_labels() == [
          "World",
          "Sports",
          "Business",
          "Tech",
      ]
      assert len(trainvalid_dataset) == 120000
      assert len(test_dataset) == 7600
      assert (
          test_dataset[0].text_a == "Fears for T N pension after talks"
      )
      assert (
          test_dataset[0].text_b
          == "Unions representing workers at Turner   Newall say they are 'disappointed' after talks with stricken parent firm Federal Mogul."
      )
      assert test_dataset[0].label == 2
  
file_path: OpenPrompt/test/test_data_processor/test_text_classification_dataset.py
imports: import os, sys
  from os.path import dirname
  from os.path import abspath, join
  from openprompt.data_utils.text_classification_dataset import PROCESSORS
label_desc: Use image node_id 1 for calling a global function with example usage: test_AgnewsProcessor() without return types