def METHOD_NAME(tweet_emotion_train_test_textdata, tweet_emotion_train_test_predictions):
    # Arrange
    train, _ = tweet_emotion_train_test_textdata
    train_preds, _ = tweet_emotion_train_test_predictions
    check = PredictionDrift().add_condition_drift_score_less_than()
    # Act
    result = check.run(train, train, train_predictions=train_preds, test_predictions=train_preds)
    condition_result = check.conditions_decision(result)
    # Assert
    assert_that(condition_result, has_items(
        equal_condition_result(is_pass=True,
                               details="Found model prediction Cramer's V drift score of 0",
                               name='Prediction drift score < 0.15')
    ))
    assert_that(result.value['Drift score'], equal_to(0))