And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.

  font-size: 25px;
  line-height: 40px;
  padding: 3px 10px;
  display: inline-block;
  border-radius: 6px;
  color: #f0f0f0;
  margin: 5px 0;
  width: auto;
}

.logo {
  text-align: center;
  margin-top: 150px;

   * 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.
   */

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8" %>
<aside class="main-sidebar sidebar-dark-primary">
	<la:link href="/admin/" styleClass="brand-link text-center">
		<span class="brand-text">
		<c:if test="${empty param.brandName or empty param.logoPath}"><img src="${fe:url('/images/logo-head.png')}" alt="<la:message key="labels.header_brand_name" />" /></c:if

import org.codelibs.fess.opensearch.config.cbean.cq.ElevateWordToLabelCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsElevateWordToLabelCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;

                  return map.entrySet().remove(o);
                }

                @Override
                public boolean removeIf(Predicate<? super Entry<String, String>> filter) {
                  return map.entrySet().removeIf(filter);
                }

                @Override
                public boolean containsAll(Collection<?> c) {
                  return map.entrySet().containsAll(c);
                }

    Set<E> inEdgesV = inEdges(nodeV);
    return nodePairInvalidatableSet(
        outEdgesU.size() <= inEdgesV.size()
            ? unmodifiableSet(Sets.filter(outEdgesU, connectedPredicate(nodeU, nodeV)))
            : unmodifiableSet(Sets.filter(inEdgesV, connectedPredicate(nodeV, nodeU))),
        nodeU,
        nodeV);
  }

  @Override
  public Set<E> edgesConnecting(EndpointPair<N> endpoints) {

1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.
1. Click **Dashboard**.
1. Select "fess\_log" dashboard.

        SearchResponse response = getClient().get(c -> c.prepareSearch(index)
                .setScroll(new TimeValue(scrollTimeout))
                .setQuery(QueryBuilders.boolQuery().filter(QueryBuilders.termQuery(SESSION_ID, oldSessionId)))
                .setSize(scrollSize)
                .execute());
        String scrollId = response.getScrollId();
        try {
            while (scrollId != null) {

    public String createdTime;

    /** Version number for optimistic locking. */
    public String versionNo;

    /**
     * Clears all pagination state and filter parameters.
     * Resets pagination counters to default values and clears all filter fields.
     */
    public void clear() {
        allRecordCount = 0;
        allPageCount = 0;
        existPrePage = false;
        existNextPage = false;