def METHOD_NAME():
    # Arrange
    data = {'col1': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]}
    dataset = Dataset(pd.DataFrame(data=data), cat_features=[])
    # Act
    check = OutlierSampleDetection(nearest_neighbors_percent=0.2).add_condition_no_outliers()
    result = check.conditions_decision(check.run(dataset))
    # Assert
    assert_that(result, has_items(
        equal_condition_result(is_pass=True,
                               details='0% of dataset samples above outlier threshold',
                               name='No samples in dataset over outlier score of 0.7')
    ))