// ## Arrange ##
        // URLs with curly braces (e.g., OpenSearch) should be accepted
        final CurlRequest request = new CurlRequest(Method.GET, "http://localhost:9200/{index}/_search");

        // ## Assert ##
        assertNotNull(request);
    }

    @Test
    public void test_UrlWithPipe() {
        // ## Arrange ##

   *
   * <p>Due to the property that values in a BiMap are unique, this will tend to execute in
   * faster-than-linear time.
   *
   * @param value the object to search for in the values of this BiMap
   * @return true if a mapping exists from a key to the specified value
   */
  @Override
  public boolean containsValue(@Nullable Object value) {

     * pagination metadata including total count and page number list.
     *
     * @param crawlingInfoPager the pager object containing search criteria and pagination settings
     * @return a list of CrawlingInfo entities matching the criteria
     */
    public List<CrawlingInfo> getCrawlingInfoList(final CrawlingInfoPager crawlingInfoPager) {

   *       </ul>
   *   <li>another java.util.Map delegate implementation. In most modern JDKs, normal java.util hash
   *       collections intelligently fall back to a binary search tree if hash table collisions are
   *       detected. Rather than going to all the trouble of reimplementing this ourselves, we
   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is

        ViewHelper viewHelper = new ViewHelper();
        viewHelper.init();

        try {
            ViewHelper.TextFragment[] result =
                    viewHelper.createTextFragmentsByHighlight(new org.opensearch.search.fetch.subphase.highlight.HighlightField[0]);
            assertNotNull(result);
            assertEquals(0, result.length);
        } catch (Exception e) {
            assertTrue(true);
        }
    }

   *       </ul>
   *   <li>another java.util.Set delegate implementation. In most modern JDKs, normal java.util hash
   *       collections intelligently fall back to a binary search tree if hash table collisions are
   *       detected. Rather than going to all the trouble of reimplementing this ourselves, we
   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is

labels.sidebar.placeholder_search=検索...
labels.menu_plugin=プラグイン
labels.menu_storage=ストレージ
labels.sidebar.menu=メニュー
labels.footer.copyright=&copy;2026 <a href="https://github.com/codelibs">CodeLibs Project</a>.
labels.search=検索
labels.similar_doc_result_status=類似している結果を表示しています。
labels.search_result_status=<b>{0}</b> の検索結果<span class="br-phone"></span> <b>{1}</b> 件中 <b>{2}</b> - <b>{3}</b> 件目

            searchEngineClient = ComponentUtil.getSearchEngineClient();
        }

        /**
         * Deletes files marked for deletion after checking if they exist in the search index.
         */
        protected void deleteFiles() {
            final Map<String, Path> deleteFileMap = new HashMap<>();
            for (final Path path : deletedFileList) {

import org.codelibs.fess.util.ComponentUtil;
import org.codelibs.fess.util.DocList;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;
import org.opensearch.action.search.SearchRequestBuilder;

public class IndexUpdaterTest extends UnitFessTestCase {

    private IndexUpdater indexUpdater;
    private SystemHelper systemHelper;
    private IndexingHelper indexingHelper;

                                            </label>
                                        </div>
                                    </div>
                                </div>
                                <%-- Search File Proxy --%>
                                <div class="form-group row">
                                    <span class="font-weight-bold col-sm-3 text-sm-right col-form-label"><la:message