public Set<V> replaceValues(@ParametricNullness K key, Iterable<? extends V> values) {
    return (Set<V>) super.replaceValues(key, values);
  }

  @Override
  Set<Entry<K, V>> createEntries() {
    return Sets.filter(unfiltered().entries(), entryPredicate());
  }

  @Override
  public Set<Entry<K, V>> entries() {
    return (Set<Entry<K, V>>) super.entries();
  }

  public Set<V> replaceValues(@ParametricNullness K key, Iterable<? extends V> values) {
    return (Set<V>) super.replaceValues(key, values);
  }

  @Override
  Set<Entry<K, V>> createEntries() {
    return Sets.filter(unfiltered().entries(), entryPredicate());
  }

  @Override
  public Set<Entry<K, V>> entries() {
    return (Set<Entry<K, V>>) super.entries();
  }

  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // Spec holds information about the request being evaluated
  optional TokenRequestSpec spec = 2;

  // Status is filled in by the server and indicates whether the token can be authenticated.
  // +optional
  optional TokenRequestStatus status = 3;
}

// TokenRequestSpec contains client provided parameters of a token request.

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.

        return asListHtml(StringUtil.EMPTY);
    }

    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public ActionResponse list(final OptionalThing<String> id) {
        saveToken();
        return id.filter(StringUtil::isNotBlank).map(s -> asListHtml(decodePath(s))).orElse(redirect(getClass()));
    }

    @Execute
    @Secured({ ROLE })
    public HtmlResponse upload(final ItemForm form) {

    @PostConstruct
    public void init() {
        StreamUtil.split(ComponentUtil.getFessConfig().getIndexFiletype(), "\n")
                .of(stream -> stream.filter(StringUtil::isNotBlank).forEach(s -> {
                    final String[] values = StringUtils.split(s, "=", 2);
                    if (values.length == 2) {
                        mimetypeMap.put(values[0], values[1]);

     * unmarshalled into that type. The preprocessor is not required to perform any type conversion but should rather
     * filter out incompatible values from its result.
     *
     * @param value The configuration value to preprocess, must not be {@code null}.
     * @param type The target type of the value, may be {@code null}.

    local grouped = panelUtil.groupPanelsInRows(sanitizedPanels);

    local panelsBeforeRows = panelUtil.getPanelsBeforeNextRow(grouped);
    local rowPanels =
      std.filter(
        function(p) p.type == 'row',
        grouped
      );

    local CalculateXforPanel(index, panel) =
      local panelsPerRow = std.floor(gridWidth / panel.gridPos.w);

            return OK;
        }
        config.setDefaultDispatcher(result.get("defaultDispatcher").getResult());

        DispatcherMeta meta = secDispatcher.availableDispatchers().stream()
                .filter(d -> Objects.equals(config.getDefaultDispatcher(), d.name()))
                .findFirst()
                .orElseThrow();
        if (!meta.fields().isEmpty()) {
            result = prompt.prompt(

import org.codelibs.fess.es.log.cbean.ca.UserInfoCA;
import org.codelibs.fess.es.log.cbean.cq.UserInfoCQ;
import org.codelibs.fess.es.log.cbean.cq.bs.BsUserInfoCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;