"lang_sv": {
          "match": "*_sv",
          "mapping": {
            "type": "text",
            "analyzer": "swedish_analyzer"
          }
        }
      },
      {
        "lang_ta": {
          "match": "*_ta",
          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_te": {

        "lang_sv": {
          "match": "*_sv",
          "mapping": {
            "type": "text",
            "analyzer": "swedish_analyzer"
          }
        }
      },
      {
        "lang_ta": {
          "match": "*_ta",
          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_te": {

        "lang_sv": {
          "match": "*_sv",
          "mapping": {
            "type": "text",
            "analyzer": "swedish_analyzer"
          }
        }
      },
      {
        "lang_ta": {
          "match": "*_ta",
          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_te": {

      - 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

        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));

    public String normalize(final String text, final String field, final String... langs) {
        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));
            }

def verify_docs():
    verify_readme()
    verify_config()
    verify_non_translated()


@app.command()
def langs_json():
    langs = []
    for lang_path in get_lang_paths():
        if lang_path.is_dir():
            langs.append(lang_path.name)
    print(json.dumps(langs))


@app.command()
def generate_docs_src_versions_for_file(file_path: Path) -> None:
    target_versions = ["py39", "py310"]

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

public class FullWidthToHalfWidthAlphabetNormalizer implements Normalizer {
    @Override
    public String normalize(final String text, final String field, final String... langs) {
        final char[] chars = new char[text.length()];
        for (int i = 0; i < chars.length; i++) {
            final char c = text.charAt(i);
            if (c >= 'ａ' && c <= 'ｚ') {

                    + ", fields=" + Arrays.toString(fields)//
                    + ", tags=" + Arrays.toString(tags)//
                    + ", roles=" + Arrays.toString(roles)//
                    + ", langs=" + Arrays.toString(langs)//
                    + ", num=" + num;
            if (logger.isDebugEnabled()) {
                logger.debug(msg, e);
            }
            throw new SuggestIndexException(msg, e);
        }

    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);