code: def test_should_parse_slightly_ambiguous_utterances(self):
      # Given
      dataset_stream = io.StringIO(
          """
  ---
  type: intent
  name: intent_1
  utterances:
    - call tomorrow
  
  ---
  type: intent
  name: intent_2
  utterances:
    - call [time:snips/datetime](today)"""
      )
      dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
      parser = LookupIntentParser().fit(dataset)
      text = "call tomorrow"
  
      # When
      res = parser.parse(text)
  
      # Then
      expected_intent = intent_classification_result(
          intent_name="intent_1", probability=2.0 / 3.0
      )
      expected_result = parsing_result(text, expected_intent, [])
      self.assertEqual(expected_result, res)
  
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 10 for calling the TestLookupIntentParser obj's underlying member method code with example usage: obj.test_should_parse_slightly_ambiguous_utterances() without return types