*   <li>Old document deletion after successful crawling</li>
 *   <li>Crawling execution monitoring and timing</li>
 * </ul>
 */
public class DataIndexHelper {

    /** Logger instance for this class */
    private static final Logger logger = LogManager.getLogger(DataIndexHelper.class);

    /** Parameter key for controlling deletion of old documents */

        // Encrypt with new method, decrypt with old method
        @SuppressWarnings("deprecation")
        final String encrypted1 = cipher.encryptText(original);
        @SuppressWarnings("deprecation")
        final String decrypted1 = cipher.decryptoText(encrypted1);
        assertThat(decrypted1, is(original));

        // Encrypt with old method, decrypt with new method
        @SuppressWarnings("deprecation")

            System.arraycopy(oldTable, 0, newListTable, 0, size);
            for (int i = 0; i < size; i++) {
                Entry<K, V> old = oldTable[i];
                final int index = (old.hashCode & 0x7FFFFFFF) % newCapacity;
                final Entry<K, V> e = old;
                old = old.next;
                e.next = newMapTable[index];
                newMapTable[index] = e;
            }

labels.popular_word_word_enabled=Popular Word Response
labels.supported_search_web=Web
labels.supported_search_none=Unavailable
labels.purge_search_log_day=Delete old search logs
labels.purge_job_log_day=Delete old job logs
labels.purge_user_info_day=Delete old user logs
labels.purge_by_bots=Bot names to delete logs
labels.log_level=Log Level
labels.csv_file_encoding=CSV File Encoding
labels.notification_to=Notification Mail

    }

    /**
     * Deletes old documents that have the same URL but different document IDs
     * as the documents in the provided list. This prevents duplicate documents
     * from accumulating in the index.
     *
     * @param searchEngineClient the search engine client to use for deletion
     * @param docList the list of new documents to check against
     * @return the number of old documents that were deleted
     */

labels.popular_word_word_enabled=Popular Word Response
labels.supported_search_web=Web
labels.supported_search_none=Unavailable
labels.purge_search_log_day=Delete old search logs
labels.purge_job_log_day=Delete old job logs
labels.purge_user_info_day=Delete old user logs
labels.purge_by_bots=Bot names to delete logs
labels.log_level=Log Level
labels.csv_file_encoding=CSV File Encoding
labels.notification_to=Notification Mail

import jakarta.annotation.Resource;

/**
 * This class is a command-line application for creating and managing the suggest index.
 * It provides functionality to index words from documents and search logs, as well as
 * to purge old suggest data.
 */
public class SuggestCreator {

    /**
     * Constructs a new suggest creator.
     */
    public SuggestCreator() {
        // do nothing
    }

    }

    /**
     * Deletes old words based on a threshold date.
     * @param threshold The threshold date.
     * @return The SuggestDeleteResponse.
     */
    public SuggestDeleteResponse deleteOldWords(final ZonedDateTime threshold) {
        if (logger.isInfoEnabled()) {
            logger.info("Deleting old words: index={}, threshold={}", index, threshold);
        }

            ThreadUtil.sleep(interval);
        }).then(response -> {
            refresh();
            success.accept(true);
        }).error(t -> error.accept(t));
    }

    /**
     * Purges old suggest data from documents.
     *
     * @param time The timestamp to purge data before.
     */
    public void purgeDocumentSuggest(final LocalDateTime time) {

     * @throws Exception
     */
    public void testBackwardCompatibility() throws Exception {
        // These test cases ensure that the new java.util.Base64 implementation
        // produces the same output as the old custom implementation

        // Test case 1: Standard padding
        final byte[] data1 = "abc".getBytes();
        assertEquals("YWJj", Base64Util.encode(data1));

        // Test case 2: Single padding