code: def test_training_should_be_reproducible(self):
      # Given
      random_state = 42
      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
  
      # When
      parser1 = DeterministicIntentParser(random_state=random_state)
      parser1.fit(dataset)
  
      parser2 = DeterministicIntentParser(random_state=random_state)
      parser2.fit(dataset)
  
      # Then
      with temp_dir() as tmp_dir:
          dir_parser1 = tmp_dir / "parser1"
          dir_parser2 = tmp_dir / "parser2"
          parser1.persist(dir_parser1)
          parser2.persist(dir_parser2)
          hash1 = dirhash(str(dir_parser1), "sha256")
          hash2 = dirhash(str(dir_parser2), "sha256")
          self.assertEqual(hash1, hash2)
  
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 33 for calling the TestDeterministicIntentParser obj's underlying member method code with example usage: obj.test_training_should_be_reproducible() without return types