code: def test_fitting_should_be_reproducible_after_serialization(self):
      # Given
      dataset_stream = io.StringIO(
          """
  ---
  type: intent
  name: MakeTea
  utterances:
  - make me a [beverage_temperature:Temperature](hot) cup of tea
  - make me [number_of_cups:snips/number](five) tea cups
  
  ---
  type: intent
  name: MakeCoffee
  utterances:
  - make me [number_of_cups:snips/number](one) cup of coffee please
  - brew [number_of_cups] cups of coffee"""
      )
      dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
  
      seed = 666
      shared = self.get_shared_data(dataset)
      shared[RANDOM_STATE] = seed
      parser = ProbabilisticIntentParser(**shared)
      parser.persist(self.tmp_file_path)
  
      # When
      fitted_parser_1 = ProbabilisticIntentParser.from_path(
          self.tmp_file_path, **shared
      ).fit(dataset)
  
      fitted_parser_2 = ProbabilisticIntentParser.from_path(
          self.tmp_file_path, **shared
      ).fit(dataset)
  
      # Then
      feature_weights_1 = fitted_parser_1.slot_fillers[
          "MakeTea"
      ].crf_model.state_features_
      feature_weights_2 = fitted_parser_2.slot_fillers[
          "MakeTea"
      ].crf_model.state_features_
      self.assertEqual(feature_weights_1, feature_weights_2)
  
imports: from __future__ import unicode_literals
  import io
  from future.utils import itervalues
  from mock import patch
  from snips_nlu.constants import RES_ENTITY, RES_INTENT, RES_INTENT_NAME, RES_SLOTS, RES_VALUE, RANDOM_STATE
  from snips_nlu.dataset import Dataset
  from snips_nlu.exceptions import IntentNotFoundError, NotTrained
  from snips_nlu.intent_classifier import IntentClassifier, LogRegIntentClassifier
  from snips_nlu.intent_parser import ProbabilisticIntentParser
  from snips_nlu.pipeline.configs import CRFSlotFillerConfig, LogRegIntentClassifierConfig, ProbabilisticIntentParserConfig
  from snips_nlu.result import unresolved_slot, intent_classification_result
  from snips_nlu.slot_filler import SlotFiller
  from snips_nlu.tests.utils import FixtureTest, MockIntentClassifier, MockSlotFiller
label_desc: Use image node_id 18 for calling the TestProbabilisticIntentParser obj's underlying member method code with example usage: obj.test_fitting_should_be_reproducible_after_serialization() without return types