code: def test_SNLIProcessor():
      dataset_name = "SNLI"
      dataset_path = os.path.join(base_path, dataset_name)
      processor = PROCESSORS[dataset_name.lower()]()
      train_dataset = processor.get_train_examples(dataset_path)
      dev_dataset = processor.get_dev_examples(dataset_path)
      test_dataset = processor.get_test_examples(dataset_path)
      assert processor.get_num_labels() == 3
      assert processor.get_labels() == [
          "entailment",
          "neutral",
          "contradiction",
      ]
      assert len(train_dataset) == 549367
      assert len(dev_dataset) == 9842
      assert len(test_dataset) == 9824
      assert (
          train_dataset[0].text_a
          == "A person on a horse jumps over a broken down airplane."
      )
      assert (
          train_dataset[0].text_b
          == "A person is training his horse for a competition."
      )
      assert train_dataset[0].label == 1
  
imports: import os, sys
  from os.path import dirname
  from os.path import abspath, join
  from openprompt.data_utils.nli_dataset import PROCESSORS
label_desc: Use image node_id 1 for calling a global function with example usage: test_SNLIProcessor() without return types