code: def test_should_not_parse_when_not_fitted(self):
      # Given
      parser = ProbabilisticIntentParser()
  
      # When / Then
      self.assertFalse(parser.fitted)
      with self.assertRaises(NotTrained):
          parser.parse("foobar")
  
imports: from __future__ import unicode_literals
  import io
  from future.utils import itervalues
  from mock import patch
  from snips_nlu.constants import RES_ENTITY, RES_INTENT, RES_INTENT_NAME, RES_SLOTS, RES_VALUE, RANDOM_STATE
  from snips_nlu.dataset import Dataset
  from snips_nlu.exceptions import IntentNotFoundError, NotTrained
  from snips_nlu.intent_classifier import IntentClassifier, LogRegIntentClassifier
  from snips_nlu.intent_parser import ProbabilisticIntentParser
  from snips_nlu.pipeline.configs import CRFSlotFillerConfig, LogRegIntentClassifierConfig, ProbabilisticIntentParserConfig
  from snips_nlu.result import unresolved_slot, intent_classification_result
  from snips_nlu.slot_filler import SlotFiller
  from snips_nlu.tests.utils import FixtureTest, MockIntentClassifier, MockSlotFiller
label_desc: Use image node_id 12 for calling the TestProbabilisticIntentParser obj's underlying member method code with example usage: obj.test_should_not_parse_when_not_fitted() without return types