code: def test_naml_iterator(mind_resource_path):
      train_news_file = os.path.join(
          mind_resource_path, "train", "news.tsv"
      )
      train_behaviors_file = os.path.join(
          mind_resource_path, "train", "behaviors.tsv"
      )
      valid_news_file = os.path.join(
          mind_resource_path, "valid", "news.tsv"
      )
      valid_behaviors_file = os.path.join(
          mind_resource_path, "valid", "behaviors.tsv"
      )
      wordEmb_file = os.path.join(
          mind_resource_path, "utils", "embedding_all.npy"
      )
      userDict_file = os.path.join(
          mind_resource_path, "utils", "uid2index.pkl"
      )
      wordDict_file = os.path.join(
          mind_resource_path, "utils", "word_dict_all.pkl"
      )
      vertDict_file = os.path.join(
          mind_resource_path, "utils", "vert_dict.pkl"
      )
      subvertDict_file = os.path.join(
          mind_resource_path, "utils", "subvert_dict.pkl"
      )
      yaml_file = os.path.join(mind_resource_path, "utils", "naml.yaml")
  
      if not os.path.exists(train_news_file):
          download_deeprec_resources(
              "https://recodatasets.z20.web.core.windows.net/newsrec/",
              os.path.join(mind_resource_path, "train"),
              "MINDdemo_train.zip",
          )
      if not os.path.exists(valid_news_file):
          download_deeprec_resources(
              "https://recodatasets.z20.web.core.windows.net/newsrec/",
              os.path.join(mind_resource_path, "valid"),
              "MINDdemo_dev.zip",
          )
      if not os.path.exists(yaml_file):
          download_deeprec_resources(
              "https://recodatasets.z20.web.core.windows.net/newsrec/",
              os.path.join(mind_resource_path, "utils"),
              "MINDdemo_utils.zip",
          )
  
      hparams = prepare_hparams(
          yaml_file,
          wordEmb_file=wordEmb_file,
          wordDict_file=wordDict_file,
          userDict_file=userDict_file,
          vertDict_file=vertDict_file,
          subvertDict_file=subvertDict_file,
          epochs=1,
          batch_size=1024,
      )
      train_iterator = MINDAllIterator(hparams, hparams.npratio)
      test_iterator = MINDAllIterator(hparams, -1)
  
      assert train_iterator is not None
      for res in train_iterator.load_data_from_file(
          train_news_file, train_behaviors_file
      ):
          assert isinstance(res, dict)
          assert len(res) == 11
          break
  
      assert test_iterator is not None
      for res in test_iterator.load_data_from_file(
          valid_news_file, valid_behaviors_file
      ):
          assert isinstance(res, dict)
          assert len(res) == 11
          break
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_naml_iterator(mind_resource_path) without return types