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()
    # Act
    result = check.run(ds, with_display=False)
    # Assert
    assert_that(result.value, has_entries({
        'percent_of_conflicting_samples': close_to(0.5, 0.01),
        'samples_indices': has_length(1)
    }))
    assert_that(result.display, has_length(0))