code: def test_should_parse_intent_with_stop_words(
      self, mock_get_stop_words
  ):
      # Given
      mock_get_stop_words.return_value = {"a", "hey"}
      dataset = self.slots_dataset
      config = LookupIntentParserConfig(ignore_stop_words=True)
      parser = LookupIntentParser(config).fit(dataset)
      text = (
          "Hey this is dummy_a query with another dummy_c at 10p.m. "
          "or at 12p.m."
      )
  
      # When
      parsing = parser.parse(text)
  
      # Then
      probability = 1.0
      expected_intent = intent_classification_result(
          intent_name="dummy_intent_1", probability=probability
      )
  
      self.assertEqual(expected_intent, parsing[RES_INTENT])
  
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 5 for calling the TestLookupIntentParser obj's underlying member method code with example usage: obj.test_should_parse_intent_with_stop_words(mock_get_stop_words) without return types