code: def test_loading_serialization_directory(self):
      # copy params, since they'll get consumed during training
      params_dict_copy = copy.deepcopy(self.params.as_dict())
  
      # `train_model` should create an archive
      serialization_dir = self.TEST_DIR / "serialization"
      model = train_model(
          self.params, serialization_dir=serialization_dir
      )
  
      # load from the serialization directory itself
      archive = load_archive(serialization_dir)
      model2 = archive.model
  
      assert_models_equal(model, model2)
  
      # check that params are the same
      params2 = archive.config
      assert params2.as_dict() == params_dict_copy
  
imports: import copy
  import os
  import tempfile
  import tarfile
  import pytest
  import torch
  from allennlp.version import _MAJOR, _MINOR
  from allennlp.commands.train import train_model
  from allennlp.common import Params
  from allennlp.common.meta import Meta
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data.dataset_readers import DatasetReader
  from allennlp.models.archival import archive_model, load_archive, CONFIG_NAME, _check_version_compatibility
label_desc: Use image node_id 4 for calling the ArchivalTest obj's underlying member method code with example usage: obj.test_loading_serialization_directory() without return types