def METHOD_NAME(mnist_visiondata_train):
    # Arrange
    properties = [{
        'name': 'test',
        'method': lambda labels: labels,
        'output_type': 'categorical'
    }]
    check = LabelPropertyOutliers(label_properties=properties)
    # Act
    result = check.run(mnist_visiondata_train)
    # Assert
    assert_that(result, is_correct_label_property_outliers_result(properties))
    assert_that(result.value, has_entries({
        'test': has_entries({
            'outliers_identifiers': has_length(0),
            'lower_limit': is_(0),
            'upper_limit': is_(9)
        })
    }))