import jakarta.servlet.http.HttpSession;

/**
 * QueryHelper is responsible for building and managing OpenSearch queries for Fess search functionality.
 * It handles query construction, role-based access control, boost functions, sorting, and search preferences.
 * This class serves as the central component for translating user search requests into properly formatted
 * OpenSearch queries with appropriate filters and scoring mechanisms.
 */

     *
     * @param pageNumber Optional page number to display (0-based)
     * @param form The search form containing filter criteria
     * @return HTML response showing the stemmer override list
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse list(final OptionalThing<Integer> pageNumber, final SearchForm form) {

      limiter.acquire(); // #5
    }
    stopwatch.sleepMillis(4250); // #6, back to cold state (warmup period + repay last acquire)
    for (int i = 0; i < 11; i++) {
      limiter.acquire(); // #7, showing off the warmup starting from totally cold
    }

    // make sure the areas (times) remain the same, while permits are different
    assertEvents(
        "R0.00, R1.38, R1.13, R0.88, R0.63, R0.50, R0.50, R0.50", // #1

      limiter.acquire(); // #5
    }
    stopwatch.sleepMillis(4250); // #6, back to cold state (warmup period + repay last acquire)
    for (int i = 0; i < 11; i++) {
      limiter.acquire(); // #7, showing off the warmup starting from totally cold
    }

    // make sure the areas (times) remain the same, while permits are different
    assertEvents(
        "R0.00, R1.38, R1.13, R0.88, R0.63, R0.50, R0.50, R0.50", // #1

 * prefer the simplest interface that satisfies your use case. See the <a
 * href="https://github.com/google/guava/wiki/GraphsExplained#choosing-the-right-graph-type">
 * "Choosing the right graph type"</a> section of the Guava User Guide for more details.
 *
 * <h3>Capabilities</h3>
 *
 * <p>{@code Network} supports the following use cases (<a

   * value returned by this method is the {@code i} in that range such that {@code allRequired[i]}
   * is as close as possible to the center of the range [{@code from}, {@code to}]. Choosing the
   * value closest to the center of the range first is the most efficient strategy because it
   * minimizes the size of the subranges from which the remaining selections must be done.
   */

          return rest[index - 2];
      }
    }

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;
  }

  /**
   * Returns every possible list that can be formed by choosing one element from each of the given
   * lists in order; the "n-ary <a href="http://en.wikipedia.org/wiki/Cartesian_product">Cartesian
   * product</a>" of the lists. For example:
   *
   * {@snippet :

   * types that contain an embedded IPv4 address.
   *
   * <p>NOTE: ISATAP addresses are explicitly excluded from this method due to their trivial
   * spoofability. With other transition addresses spoofing involves (at least) infection of one's
   * BGP routing table.
   *
   * @param ip {@link Inet6Address} to be examined for embedded IPv4 client address
   * @return {@code true} if there is an embedded IPv4 client address

        }

        String result = scoreUpdater.execute();
        String[] lines = result.split("\n");
        assertEquals(100, lines.length);
    }

    // Test priority sorting with large range
    public void test_addScoreBooster_largePriorityRange() {
        PriorityTrackingBooster booster1 = new PriorityTrackingBooster(Integer.MIN_VALUE, 100L);

        DataStoreFactory testFactory = new DataStoreFactory() {
            @Override
            protected List<String> loadDataStoreNameList() {
                // Return unsorted list to test sorting
                return List.of("Zebra", "Apple", "Banana").stream().sorted().collect(java.util.stream.Collectors.toList());
            }
        };

        List<String> names = testFactory.loadDataStoreNameList();