doc.documentElement.depthFirst().findAll { it.name() == 'programlisting' || it.name() == 'screen' }.each {Element element ->
            element.setTextContent(normalise(element.getTextContent()))
        }
    }

    static String normalise(String content) {
        content.replace('\t', '    ').stripIndent().replace('\r\n', '\n')
    }

    def transformApiLinks(Document doc) {

 * - [url] — the canonical, https:// URL for the license text
 * - [aliases] — all known POM `<licenses><license><name>` strings that map to this license;
 *   used by [GenerateLicenseFile] to normalise inconsistent spellings across the Maven ecosystem
 *
 * ## Adding a new dependency with an unrecognised license
 *
 * If `./gradlew generateLicenseFile` fails with "declare a license name not registered in

///

Par exemple, ce validateur personnalisé vérifie que l’ID d’item commence par `isbn-` pour un numéro de livre <abbr title="International Standard Book Number - Numéro international normalisé du livre">ISBN</abbr> ou par `imdb-` pour un ID d’URL de film <abbr title="Internet Movie Database - Base de données de films sur Internet: un site web contenant des informations sur les films">IMDB</abbr> :

 */
package org.codelibs.fess.suggest.normalizer;

/**
 * An interface for normalizing text.
 * Implementations of this interface should provide a method to normalize
 * a given text based on the specified field and optional language parameters.
 */
public interface Normalizer {
    /**
     * Normalizes the given text.
     * @param text The text to normalize
     * @param field The field name

                chain.add(new LangAnalyzerNormalizer(lang));
            }
            normalizer = chain;
        }
        return normalizer.normalize(text, field);
    }

    /**
     * Language-specific analyzer normalizer.
     */
    protected class LangAnalyzerNormalizer implements Normalizer {
        /**
         * The language used for normalization.
         */
        protected final String lang;

        final String normalizedWord = normalizer.normalize(elevateWord.getElevateWord(), "");
        final List<String> normalizedReadings =
                elevateWord.getReadings().stream().map(reading -> normalizer.normalize(reading, "")).collect(Collectors.toList());
        final ElevateWord normalized = new ElevateWord(normalizedWord, elevateWord.getBoost(), normalizedReadings, elevateWord.getFields(),

    }

    /**
     * Normalizes the string representation of a number.
     *
     * @param s
     *            A string representing a number
     * @return The normalized string
     * @see #normalize(String, Locale)
     */
    public static String normalize(final String s) {
        return normalize(s, LocaleUtil.getDefault());
    }

    /**

     * @return The normalized URL or {@code null} if the input was {@code null}.
     */
    String normalize(String url);

 * <pre>
 * {@code
 * HankakuKanaToZenkakuKana normalizer = new HankakuKanaToZenkakuKana();
 * String normalized = normalizer.normalize("ｶﾞｷﾞｸﾞｹﾞｺﾞ", "field");
 * System.out.println(normalized); // Outputs: ガギグゲゴ
 * }
 * </pre>
 *
 * <p>Note: This class assumes that the input string contains valid Hankaku Kana characters
 * and does not perform any validation on the input.</p>
 *
 * @see Normalizer
 */

    }

    private UrlNormalizer normalizer;

    UrlNormalizingPostProcessor(UrlNormalizer normalizer) {
        this.normalizer = normalizer;
    }

    @Override
    public Object execute(String expression, Object value) {
        if (value != null && URL_EXPRESSIONS.contains(expression)) {
            return normalizer.normalize(value.toString());
        }

        return null;
    }