code: def test_should_get_intents_when_empty_input(self):
      # Given
      dataset_stream = io.StringIO(
          """
  ---
  type: intent
  name: intent1
  utterances:
    - foo bar
  
  ---
  type: intent
  name: intent2
  utterances:
    - lorem ipsum"""
      )
      dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
      classifier = LogRegIntentClassifier().fit(dataset)
      text = ""
  
      # When
      results = classifier.get_intents(text)
  
      # Then
      expected_results = [
          {RES_INTENT_NAME: None, RES_PROBA: 1.0},
          {RES_INTENT_NAME: "intent1", RES_PROBA: 0.0},
          {RES_INTENT_NAME: "intent2", RES_PROBA: 0.0},
      ]
      self.assertEqual(expected_results, results)
  
imports: from __future__ import unicode_literals
  import io
  import sys
  from builtins import str
  from unittest import skipIf
  from checksumdir import dirhash
  from mock import patch
  from snips_nlu.common.io_utils import temp_dir
  from snips_nlu.constants import INTENTS, LANGUAGE_EN, RES_INTENT_NAME, RES_PROBA, UTTERANCES
  from snips_nlu.dataset import Dataset
  from snips_nlu.exceptions import NotTrained
  from snips_nlu.intent_classifier import LogRegIntentClassifier
  from snips_nlu.intent_classifier.featurizer import Featurizer
  from snips_nlu.intent_classifier.log_reg_classifier_utils import text_to_utterance
  from snips_nlu.pipeline.configs import LogRegIntentClassifierConfig
  from snips_nlu.result import intent_classification_result
  from snips_nlu.tests.utils import FixtureTest, get_empty_dataset
label_desc: Use image node_id 8 for calling the TestLogRegIntentClassifier obj's underlying member method code with example usage: obj.test_should_get_intents_when_empty_input() without return types