e1a71efb8add2577dcf8149328588fcbeb462c41,tests/nlu/featurizers/test_count_vectors_featurizer.py,,test_count_vector_featurizer_response_attribute_featurization,#Any#Any#Any#Any#Any#,63

Before Change

def test_count_vector_featurizer_response_attribute_featurization(
    sentence, intent, response, intent_features, response_features
):
    ftr = CountVectorsFeaturizer()
    tk = WhitespaceTokenizer()

    train_message = Message(data={TEXT: sentence})
    // this is needed for a valid training example

After Change

def test_count_vector_featurizer_response_attribute_featurization(
    sentence, intent, response, intent_features, response_features
):
    ftr = CountVectorsFeaturizer(
        {"additional_vocabulary_size": {"text": 0, "response": 0}}
    )
    tk = WhitespaceTokenizer()

    train_message = Message(data={TEXT: sentence})
    // this is needed for a valid training example

Instances