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, 2, 2, 3, 4]*100
    }
    dataframe = pd.DataFrame(data)
    dataframe = dataframe.astype({'col1': 'category'})
    ds = Dataset(dataframe, label='label')
    check = ConflictingLabels()
    # Act
    result = check.run(ds)
    # Assert
    assert_that(result.value, has_entries({
        'percent_of_conflicting_samples': equal_to(1),
        'samples_indices': instance_of(list)
    }))
    assert_that(result.display[1], has_length(2))