code: def test_should_parse_naughty_strings(self):
      # Given
      dataset_stream = io.StringIO(
          """
  ---
  type: intent
  name: my_intent
  utterances:
  - this is [slot1:entity1](my first entity)
  - this is [slot2:entity2](second_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
      parser = LookupIntentParser().fit(dataset)
  
      # Then
      for s in naughty_strings:
          with self.fail_if_exception("Exception raised"):
              parser.parse(s)
  
imports: from __future__ import unicode_literals
  import io
  from copy import deepcopy
  from mock import patch
  from snips_nlu_utils import hash_str
  from snips_nlu.constants import DATA, ENTITY, RES_ENTITY, RES_INTENT, RES_INTENT_NAME, RES_PROBA, RES_SLOTS, RES_VALUE, SLOT_NAME, TEXT, STOP_WORDS
  from snips_nlu.dataset import Dataset
  from snips_nlu.entity_parser import BuiltinEntityParser
  from snips_nlu.exceptions import IntentNotFoundError, NotTrained
  from snips_nlu.intent_parser import LookupIntentParser
  from snips_nlu.intent_parser.lookup_intent_parser import _get_entity_scopes
  from snips_nlu.pipeline.configs import LookupIntentParserConfig
  from snips_nlu.result import empty_result, extraction_result, intent_classification_result, unresolved_slot, parsing_result
  from snips_nlu.tests.utils import FixtureTest, TEST_PATH, EntityParserMock
label_desc: Use image node_id 21 for calling the TestLookupIntentParser obj's underlying member method code with example usage: obj.test_should_parse_naughty_strings() without return types