* the offending characters.
 *
 * ### IDNA Mapping and Punycode encoding
 *
 * Hostnames have different requirements and use a different encoding scheme. It consists of IDNA
 * mapping and Punycode encoding.
 *
 * In order to avoid confusion and discourage phishing attacks, [IDNA Mapping][idna] transforms

- Added `SchedulerPopFromBackoffQ` feature gate that is in beta and enabled by default. Improved scheduling queue behavior by popping pods from the backoffQ when the activeQ is empty. This allows to process potentially schedulable pods ASAP, eliminating a penalty effect of the backoff queue. ([#130772](https://github.com/kubernetes/kubernetes/pull/130772), [@macsko](https://github.com/macsko))...

Shinsuke Sugaya <******@****.***> 1690423667 +0900

Shinsuke Sugaya <******@****.***> 1690423667 +0900

   */

  /**
   * Creates an {@code ArrayTable} with the mappings in the provided table.
   *
   * <p>If {@code table} includes a mapping with row key {@code r} and a separate mapping with
   * column key {@code c}, the returned table contains a mapping with row key {@code r} and column
   * key {@code c}. If that row key / column key pair in not in {@code table}, the pair maps to
   * {@code null} in the generated table.

   * The table size is capped because, when there are more threads
   * than CPUs, supposing that each thread were bound to a CPU,
   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of
   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,

        }
        if (logger.isDebugEnabled()) {
            logger.debug(officeManager.getClass().getSimpleName() + " is started.");
        }
    }

    /**
     * Destroys the extractor by stopping the office manager.
     *
     * @throws CrawlerSystemException if the office manager fails to stop
     */
    @PreDestroy
    public void destroy() {
        try {
            officeManager.stop();

          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_ca": {
          "match": "*_ca",
          "mapping": {
            "type": "text",
            "analyzer": "catalan_analyzer"
          }
        }
      },
      {
        "lang_ca": {
          "match": "*_ckb-iq",
          "mapping": {

internal fun mergeAdjacentRanges(mappings: List<Mapping>): List<Mapping> {
  var index = 0
  val result = mutableListOf<Mapping>()

  while (index < mappings.size) {
    val mapping = mappings[index]
    val type = canonicalizeType(mapping.type)
    val mappedTo = mapping.mappedTo

    var unionWith: Mapping = mapping
    index++

    while (index < mappings.size) {

    }

    /**
     * Retrieve a single character mapping entry by ID for the specified dictionary.
     *
     * @param dictId identifier of the dictionary
     * @param id identifier of the mapping entry
     * @return JSON response containing the mapping entry
     */
    // GET /api/admin/dict/mapping/setting/{dictId}/{id}
    @Execute