// Test convert with null languages
        String text = "test text";
        String field = "content";
        String[] langs = null;

        List<String> results = converter.convert(text, field, langs);

        assertNotNull(results);
        // Results may vary based on analyzer configuration
    }

    @Test

	}).Create(ctx, &lang3); err != nil {
		t.Fatalf("failed to upsert, got %v", err)
	}

	if langs, err := gorm.G[Language](DB).Where("code = ?", lang.Code).Find(ctx); err != nil {
		t.Errorf("no error should happen when find languages with code, but got %v", err)
	} else if len(langs) != 1 {
		t.Errorf("should only find only 1 languages, but got %+v", langs)
	} else if langs[0].Name != "upsert-new" {

     */
    public FullWidthToHalfWidthAlphabetNormalizer() {
        // nothing
    }

    @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') {

     * @param normalizer the normalizer to use for normalizing the search words
     * @param analyzer the analyzer to use for analyzing the search words
     * @param langs the array of languages associated with the search words
     * @return a SuggestItem created from the given search words and associated data
     */

	AssertEqual(t, result2, lang)

	DB.Table("langs").Migrator().DropTable(&Language{})
	DB.Table("langs").AutoMigrate(&Language{})

	if err := DB.Table("langs").Save(&lang).Error; err != nil {
		t.Errorf("no error should happen when creating data, but got %v", err)
	}

	var result3 Language
	if err := DB.Table("langs").First(&result3, "code = ?", lang.Code).Error; err != nil || result3.Name != lang.Name {

            }

            @Override
            public List<String> convert(String text, final String field, String... langs) throws IOException {
                return null;
            }
        };

        final Normalizer normalizer = (text, field, lang) -> null;

        final Suggester suggester = Suggester.builder()

     * @param roles The roles.
     * @param num The number.
     * @param langs The languages.
     * @return The SuggestIndexResponse.
     */
    public SuggestIndexResponse indexFromSearchWord(final String searchWord, final String[] fields, final String[] tags,
            final String[] roles, final int num, final String[] langs) {
        if (logger.isDebugEnabled()) {

        transliterator = Transliterator.getInstance(transliteratorId);
    }

    @Override
    public String normalize(final String text, final String field, final String... langs) {
        return transliterator.transliterate(text);
    }

            String[] langs = (String[]) propMap.get(QUERY_DEFAULT_LANGUAGES);
            if (langs == null) {
                langs = split(getQueryDefaultLanguages(), ",").get(stream -> stream.map(String::trim).toArray(n -> new String[n]));
                propMap.put(QUERY_DEFAULT_LANGUAGES, langs);

            }
            return normalizeQueryLanguages(langs);
        }

         * tokenizerFactory = japaneseTokenizerFactory; } initialized = true;
         */
    }

    @Override
    public List<String> convert(final String text, final String field, final String... langs) throws IOException {
        final List<String> readingList = new ArrayList<>();
        readingList.add(toKatakana(text));
        return readingList;
    }

    /**
     * Converts the input string to Katakana.