code: def test_should_fit_with_naughty_strings_no_tags(self):
      # Given
      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()]
  
      utterances = [
          {DATA: [{TEXT: naughty_string}]}
          for naughty_string in naughty_strings
      ]
  
      # When
      naughty_dataset = {
          "intents": {"naughty_intent": {"utterances": utterances}},
          "entities": dict(),
          "language": "en",
      }
  
      # Then
      with self.fail_if_exception("Exception raised"):
          DeterministicIntentParser().fit(naughty_dataset)
  
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 21 for calling the TestDeterministicIntentParser obj's underlying member method code with example usage: obj.test_should_fit_with_naughty_strings_no_tags() without return types