* 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))...

                    Files.deleteIfExists(target);
                    Files.createLink(target, source);
                } catch (UnsupportedOperationException | IOException suppressed) {
                    LOGGER.info("Copying {} to project local repository.", artifact);
                    try {
                        Files.copy(
                                source,
                                target,

    /**
     * Displays the main path mapping administration page.
     *
     * @param form the search form containing search criteria
     * @return HTML response for the path mapping list page
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse index(final SearchForm form) {
        return asListHtml();
    }

    /**
     * Displays the path mapping list with pagination support.
     *

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

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

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

                for (final String id : labelTypeIds) {
                    final ElevateWordToLabel mapping = new ElevateWordToLabel();
                    mapping.setElevateWordId(elevateWordId);
                    mapping.setLabelTypeId(id);
                    wctltmList.add(mapping);
                }
                elevateWordToLabelBhv.batchInsert(wctltmList, op -> {

                final Tuple3<String, String, String> mapping = fessConfig.getCrawlerMetadataNameMapping(key);
                if (mapping != null) {
                    if (Constants.MAPPING_TYPE_ARRAY.equalsIgnoreCase(mapping.getValue2())) {
                        dataMap.put(mapping.getValue1(), values);
                    } else if (Constants.MAPPING_TYPE_STRING.equalsIgnoreCase(mapping.getValue2())) {