code: def test_should_be_serializable_before_fitting(self):
      # Given
      config = LookupIntentParserConfig(ignore_stop_words=True)
      parser = LookupIntentParser(config=config)
  
      # When
      parser.persist(self.tmp_file_path)
  
      # Then
      expected_dict = {
          "config": {
              "unit_name": "lookup_intent_parser",
              "ignore_stop_words": True,
          },
          "language_code": None,
          "intents_names": [],
          "map": None,
          "slots_names": [],
          "entity_scopes": None,
          "stop_words_whitelist": None,
      }
  
      metadata = {"unit_name": "lookup_intent_parser"}
      self.assertJsonContent(
          self.tmp_file_path / "metadata.json", metadata
      )
      self.assertJsonContent(
          self.tmp_file_path / "intent_parser.json", expected_dict
      )
  
imports: from __future__ import unicode_literals
  import io
  from copy import deepcopy
  from mock import patch
  from snips_nlu_utils import hash_str
  from snips_nlu.constants import DATA, ENTITY, RES_ENTITY, RES_INTENT, RES_INTENT_NAME, RES_PROBA, RES_SLOTS, RES_VALUE, SLOT_NAME, TEXT, STOP_WORDS
  from snips_nlu.dataset import Dataset
  from snips_nlu.entity_parser import BuiltinEntityParser
  from snips_nlu.exceptions import IntentNotFoundError, NotTrained
  from snips_nlu.intent_parser import LookupIntentParser
  from snips_nlu.intent_parser.lookup_intent_parser import _get_entity_scopes
  from snips_nlu.pipeline.configs import LookupIntentParserConfig
  from snips_nlu.result import empty_result, extraction_result, intent_classification_result, unresolved_slot, parsing_result
  from snips_nlu.tests.utils import FixtureTest, TEST_PATH, EntityParserMock
label_desc: Use image node_id 24 for calling the TestLookupIntentParser obj's underlying member method code with example usage: obj.test_should_be_serializable_before_fitting() without return types