code: def test_should_parse_naughty_strings(self):
      # Given
      dataset_stream = io.StringIO(
          """
  ---
  type: intent
  name: my_intent
  utterances:
  - this is [entity1](my first entity)"""
      )
      dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
      naughty_strings_path = (
          TEST_PATH / "resources" / "naughty_strings.txt"
      )
      with naughty_strings_path.open(encoding="utf8") as f:
          naughty_strings = [line.strip("\n") for line in f.readlines()]
  
      # When
      shared = self.get_shared_data(dataset)
      slot_filler = CRFSlotFiller(**shared).fit(dataset, "my_intent")
  
      # Then
      for s in naughty_strings:
          with self.fail_if_exception("Naughty string crashes"):
              slot_filler.get_slots(s)
  
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 6 for calling the TestCRFSlotFiller obj's underlying member method code with example usage: obj.test_should_parse_naughty_strings() without return types