}

  abstract String normalizeWord(String word);

  String normalizeFirstWord(String word) {
    return normalizeWord(word);
  }

  private static String firstCharOnlyToUpper(String word) {
    return word.isEmpty()
        ? word
        : Ascii.toUpperCase(word.charAt(0)) + Ascii.toLowerCase(word.substring(1));
  }

            for (int i = 0; i < words.length; i++) {
                if (isExcludeSearchword(words[i], fields != null && fields.length > 0 ? fields[0] : "", langs, analyzer)) {
                    continue;
                }

                final String word = normalizer.normalize(words[i], fields != null && fields.length > 0 ? fields[0] : "", langs);

        }

        public MyToken(final String word, final int startOffset, final int endOffset, final int posInc) {
            this(word, startOffset, endOffset, posInc, Integer.MAX_VALUE); // Integer.MAX_VALUE for seq means unused
        }

        public MyToken(final String word, final int startOffset, final int endOffset, final int posInc, final int seq) {
            this.word = word;
            this.startOffset = startOffset;

  }

  abstract String normalizeWord(String word);

  String normalizeFirstWord(String word) {
    return normalizeWord(word);
  }

  private static String firstCharOnlyToUpper(String word) {
    return word.isEmpty()
        ? word
        : Ascii.toUpperCase(word.charAt(0)) + Ascii.toLowerCase(word.substring(1));
  }

labels.suggest_word_configuration=Suggest Word
labels.suggest_word_title_details=Suggest Word
labels.suggest_word_type=Word Type
labels.suggest_word_number=Word Count
labels.suggest_word_type_all=All
labels.suggest_word_type_document=Document
labels.suggest_word_type_query=Query
labels.elevate_word_configuration=Additional Word
labels.elevate_word_title_details=Additional Word
labels.elevate_word_link_list=List

        result.add(sb.toString());
        // lines
        for (String line : lines) {
            sb.setLength(0);
            String[] words = S_FILTER.split(line);
            for (String word : words) {
                if (sb.length() >= remainder - word.length() - (sb.length() > 0 ? 1 : 0)) {
                    repeat(sb, ' ', remainder - sb.length());
                    result.add(BOX_CHAR + " " + sb + " " + BOX_CHAR);

labels.suggest_word_configuration=Suggest Word
labels.suggest_word_title_details=Suggest Word
labels.suggest_word_type=Word Type
labels.suggest_word_number=Word Count
labels.suggest_word_type_all=All
labels.suggest_word_type_document=Document
labels.suggest_word_type_query=Query
labels.elevate_word_configuration=Additional Word
labels.elevate_word_title_details=Additional Word
labels.elevate_word_link_list=List

labels.elevate_word_button_upload=Upload
labels.elevate_word_list_suggest_word=Word
labels.elevate_word_suggest_word=Word
labels.elevate_word_reading=Reading
labels.elevate_word_permissions=Permissions
labels.elevate_word_boost=Boost
labels.elevate_word_file=Additional Word File
labels.bad_word_configuration=Bad Word
labels.bad_word_title_details=Bad Word
labels.bad_word_link_list=List
labels.bad_word_link_edit=Создать новый

	case "s390x":
		return archS390x()
	case "wasm":
		return archWasm()
	}
	return nil
}

func jumpX86(word string) bool {
	return word[0] == 'J' || word == "CALL" || strings.HasPrefix(word, "LOOP") || word == "XBEGIN"
}

func jumpRISCV(word string) bool {
	switch word {
	case "BEQ", "BEQZ", "BGE", "BGEU", "BGEZ", "BGT", "BGTU", "BGTZ", "BLE", "BLEU", "BLEZ",

        }
    }

    protected QueryBuilder buildFilterQuery(final String fieldName, final List<String> words) {
        final BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery().minimumShouldMatch(1);
        words.stream().forEach(word -> boolQueryBuilder.should(QueryBuilders.termQuery(fieldName, word)));
        return boolQueryBuilder;
    }