def METHOD_NAME():
    # Arrange
    data = {
        'col1': [1, 1, 1, 2, 2, 2]*100,
        'col2': [1, 1, 1, 2, 2, 2]*100,
        'col3': [1, 1, 1, 2, 2, 2]*100,
        'label': [1, 1, 1, 1, 2, 1]*100
    }
    ds = Dataset(pd.DataFrame(data), label='label')
    check = ConflictingLabels().add_condition_ratio_of_conflicting_labels_less_or_equal(.7)
    # Act
    result = check.run(ds)
    condition_result = check.conditions_decision(result)
    # Assert
    assert_that(condition_result, has_items(
        equal_condition_result(is_pass=True,
                               details='Ratio of samples with conflicting labels: 50%',
                               name='Ambiguous sample ratio is less or equal to 70%')
    ))