code: def test_crfsuite_files_modes_should_be_644(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"""
      )
      dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
  
      # When
      slot_filler = CRFSlotFiller().fit(dataset, "MakeTea")
      slot_filler.persist(self.tmp_file_path)
  
      # Then
      crfmodel_file = str(self.tmp_file_path / CRF_MODEL_FILENAME)
      filemode = oct(os.stat(crfmodel_file).st_mode & 0o0777)
      self.assertEqual(oct(0o644), filemode)
  
imports: from __future__ import unicode_literals
  import io
  import os
  from builtins import range
  from pathlib import Path
  from unittest import skipIf
  from mock import MagicMock, PropertyMock
  from sklearn_crfsuite import CRF
  from snips_nlu.constants import DATA, END, ENTITY, LANGUAGE_EN, SLOT_NAME, START, TEXT, RANDOM_STATE
  from snips_nlu.dataset import Dataset
  from snips_nlu.entity_parser import CustomEntityParserUsage
  from snips_nlu.exceptions import NotTrained
  from snips_nlu.pipeline.configs import CRFSlotFillerConfig
  from snips_nlu.preprocessing import tokenize, Token
  from snips_nlu.result import unresolved_slot
  from snips_nlu.slot_filler.crf_slot_filler import CRFSlotFiller, _ensure_safe, _encode_tag, CRF_MODEL_FILENAME
  from snips_nlu.slot_filler.crf_utils import TaggingScheme
  from snips_nlu.slot_filler.feature_factory import IsDigitFactory, NgramFactory, ShapeNgramFactory
  from snips_nlu.tests.utils import FixtureTest, TEST_PATH
label_desc: Use image node_id 27 for calling the TestCRFSlotFiller obj's underlying member method code with example usage: obj.test_crfsuite_files_modes_should_be_644() without return types