code: def test_training_should_be_reproducible(self):
      # Given
      random_state = 42
      dataset_stream = io.StringIO(
          """
  ---
  type: intent
  name: MakeTea
  utterances:
  - make me a hot cup of tea
  - make me five tea cups
  
  ---
  type: intent
  name: MakeCoffee
  utterances:
  - make me one cup of coffee please
  - brew two cups of coffee"""
      )
      dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
  
      # When
      engine1 = SnipsNLUEngine(random_state=random_state)
      engine1.fit(dataset)
  
      engine2 = SnipsNLUEngine(random_state=random_state)
      engine2.fit(dataset)
  
      # Then
      with temp_dir() as tmp_dir:
          dir_engine1 = tmp_dir / "engine1"
          dir_engine2 = tmp_dir / "engine2"
          engine1.persist(dir_engine1)
          engine2.persist(dir_engine2)
          hash1 = dirhash(str(dir_engine1), "sha256")
          hash2 = dirhash(str(dir_engine2), "sha256")
          self.assertEqual(hash1, hash2)
  
imports: from __future__ import unicode_literals
  import io
  import shutil
  import sys
  from builtins import str
  from unittest import skipIf
  from checksumdir import dirhash
  from mock import MagicMock, patch
  from snips_nlu_parsers import get_all_languages
  import snips_nlu
  from snips_nlu.common.io_utils import temp_dir
  from snips_nlu.constants import END, LANGUAGE, LANGUAGE_EN, RES_ENTITY, RES_INPUT, RES_INTENT, RES_INTENT_NAME, RES_MATCH_RANGE, RES_RAW_VALUE, RES_SLOTS, RES_SLOT_NAME, RES_VALUE, START
  from snips_nlu.dataset import Dataset, validate_and_format_dataset
  from snips_nlu.entity_parser import BuiltinEntityParser, CustomEntityParser, CustomEntityParserUsage
  from snips_nlu.exceptions import IntentNotFoundError, InvalidInputError, NotTrained, IncompatibleModelError, PersistingError, LoadingError
  from snips_nlu.intent_parser import IntentParser
  from snips_nlu.nlu_engine import SnipsNLUEngine
  from snips_nlu.pipeline.configs import NLUEngineConfig
  from snips_nlu.resources import load_resources
  from snips_nlu.result import custom_slot, empty_result, intent_classification_result, parsing_result, resolved_slot, unresolved_slot, extraction_result
  from snips_nlu.tests.utils import FixtureTest, MockIntentParser, get_empty_dataset
label_desc: Use image node_id 33 for calling the TestSnipsNLUEngine obj's underlying member method code with example usage: obj.test_training_should_be_reproducible() without return types