code: def test_should_be_serializable_before_fitting(self):
      # Given
      config = DeterministicIntentParserConfig(
          max_queries=42, max_pattern_length=43, ignore_stop_words=True
      )
      parser = DeterministicIntentParser(config=config)
  
      # When
      parser.persist(self.tmp_file_path)
  
      # Then
      expected_dict = {
          "config": {
              "unit_name": "deterministic_intent_parser",
              "max_queries": 42,
              "max_pattern_length": 43,
              "ignore_stop_words": True,
          },
          "language_code": None,
          "group_names_to_slot_names": None,
          "patterns": None,
          "slot_names_to_entities": None,
          "stop_words_whitelist": None,
      }
  
      metadata = {"unit_name": "deterministic_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 builtins import range
  from copy import deepcopy
  from checksumdir import dirhash
  from mock import patch
  from snips_nlu.common.io_utils import temp_dir
  from snips_nlu.constants import DATA, END, ENTITY, LANGUAGE_EN, RES_ENTITY, RES_INTENT, RES_INTENT_NAME, RES_PROBA, RES_SLOTS, RES_VALUE, SLOT_NAME, START, TEXT, STOP_WORDS
  from snips_nlu.dataset import Dataset
  from snips_nlu.exceptions import IntentNotFoundError, NotTrained
  from snips_nlu.intent_parser.deterministic_intent_parser import DeterministicIntentParser, _deduplicate_overlapping_slots, _get_range_shift
  from snips_nlu.pipeline.configs import DeterministicIntentParserConfig
  from snips_nlu.result import extraction_result, intent_classification_result, unresolved_slot, empty_result, parsing_result
  from snips_nlu.tests.utils import FixtureTest, TEST_PATH
label_desc: Use image node_id 23 for calling the TestDeterministicIntentParser obj's underlying member method code with example usage: obj.test_should_be_serializable_before_fitting() without return types