final Normalizer normalizer;
        if (langs == null || langs.length == 0) {
            normalizer = new LangAnalyzerNormalizer(null);
        } else {
            final NormalizerChain chain = new NormalizerChain();
            for (final String lang : langs) {
                chain.add(new LangAnalyzerNormalizer(lang));
            }
            normalizer = chain;

      - name: Export Language Codes
        id: show-langs
        run: |
          echo "langs=$(python ./scripts/docs.py langs-json)" >> $GITHUB_OUTPUT

  build-docs:
    needs:
      - changes
      - langs
    if: ${{ needs.changes.outputs.docs == 'true' }}
    runs-on: ubuntu-latest
    strategy:
      matrix:
        lang: ${{ fromJson(needs.langs.outputs.langs) }}
    steps:
      - name: Dump GitHub context

    en_links = lang_links.get("en", [])
    en_links.sort()
    links.extend(en_links)

    langs = list(lang_links.keys())
    langs.sort()
    for lang in langs:
        if lang == "en":
            continue
        current_lang_links = lang_links[lang]
        current_lang_links.sort()
        links.extend(current_lang_links)

    message = f"📝 Docs preview for commit {settings.commit_sha} at: {deploy_url}"

    if links:

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.normalizer;

public interface Normalizer {
    String normalize(String text, String field, String... langs);

    List<Normalizer> normalizers = new ArrayList<>();

    @Override
    public String normalize(final String text, final String field, final String... langs) {
        String tmp = text;
        for (final Normalizer normalizer : normalizers) {
            tmp = normalizer.normalize(tmp, field, langs);
        }
        return tmp;
    }

    public void add(final Normalizer normalizer) {
        normalizers.add(normalizer);
    }

        final ReadingConverter converter;
        if (langs == null || langs.length == 0) {
            converter = new LangAnayzerConverter(null);
        } else {
            final ReadingConverterChain chain = new ReadingConverterChain();
            for (final String lang : langs) {
                chain.addConverter(new LangAnayzerConverter(lang));

    langs = [file.stem for file in material_langs_path.glob("*.html")]
    return langs


class EnFile(File):
    pass


def on_config(config: MkDocsConfig, **kwargs: Any) -> MkDocsConfig:
    available_langs = get_mkdocs_material_langs()
    dir_path = Path(config.docs_dir)
    lang = dir_path.parent.name
    if lang in available_langs:
        config.theme["language"] = lang

        getQueryLanguages().ifPresent(langs -> stream(langs).of(stream -> stream.forEach(lang -> {
            defaultQuery.add(
                    builder.apply(fessConfig.getIndexFieldTitle() + "_" + lang, fessConfig.getQueryBoostTitleLangAsDecimal().floatValue()));
            defaultQuery.add(builder.apply(fessConfig.getIndexFieldContent() + "_" + lang,

    SuggestItem parseSearchWords(String[] words, String[][] readings, String[] fields, String[] tags, String roles[], long score,
            ReadingConverter readingConverter, Normalizer normalizer, SuggestAnalyzer analyzer, String[] langs);

    List<SuggestItem> parseQueryLog(QueryLog queryLog, String[] fields, String[] tagFieldNames, String roleFieldName,
            ReadingConverter readingConverter, Normalizer normalizer);

public interface ReadingConverter {
    default int getMaxReadingNum() {
        return 10;
    }

    void init() throws IOException;

    List<String> convert(String text, final String field, String... langs) throws IOException;