E element = checkNotNull(entry.getElement());
      int count = entry.getCount();
      int hash = element.hashCode();
      int bucket = Hashing.smear(hash) & mask;
      ImmutableEntry<E> bucketHead = hashTable[bucket];
      ImmutableEntry<E> newEntry;
      if (bucketHead == null) {
        boolean canReuseEntry =
            entry instanceof ImmutableEntry && !(entry instanceof NonTerminalEntry);

    $ cd fess-15.3.x
    $ ./bin/fess

詳細については、[インストールガイド](https://fess.codelibs.org/15.3/install/index.html)を参照してください。

### Docker

[ghcr.io](https://github.com/orgs/codelibs/packages)にDockerイメージを提供しています。また、このリポジトリにはDocker Compose（YAML）ファイルも用意されています。[こちらのリポジトリ](https://github.com/codelibs/docker-fess/tree/master/compose)で確認できます。

### ブラウザUI

- 検索UI: http://localhost:8080/

- Additional memory overhead per container in docker v1.11 ([#21737](https://github.com/docker/docker/issues/21737))
- [List of upstream fixes](https://github.com/docker/docker/compare/v1.10.3...runcom:docker-1.10.3-stable) for docker v1.10 identified by RedHat

#### Rkt runtime Known Issues

- A detailed list of known issues can be found [here](https://github.com/kubernetes/kubernetes.github.io/blob/release-1.3/docs/getting-started-guides/rkt/notes.md)

## Known Issues

- If kubelet plugin registration for a driver fails, kubelet will not retry. The driver must delete and recreate the driver registration socket in order to force kubelet to attempt registration again. Restarting only the driver container may not be sufficient to trigger recreation of the socket, instead a pod restart may be required. ([#71487](https://github.com/kubernetes/kubernetes/issues/71487))

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

import okhttp3.Request;
import okhttp3.Response;
import okhttp3.mockwebserver.MockResponse;
import okhttp3.mockwebserver.MockWebServer;

/**
 * Create UNIX domain sockets for MockWebServer and OkHttp and connect 'em together. Note that we
 * cannot do TLS over domain sockets.
 */
public class ClientAndServer {
  public void run() throws Exception {
    File socketFile = new File("/tmp/ClientAndServer.sock");

    public CurlRequest compression(final String compression) {
        this.compression = compression;
        return this;
    }

    /**
     * Sets the SSL socket factory for secure connections.
     *
     * @param sslSocketFactory the SSL socket factory
     * @return this CurlRequest instance
     */
    public CurlRequest sslSocketFactory(final SSLSocketFactory sslSocketFactory) {

import assertk.assertions.hasSize
import assertk.assertions.isEqualTo
import java.io.IOException
import java.net.Inet4Address
import java.net.Inet6Address
import java.net.InetAddress
import java.net.Socket
import java.util.concurrent.CountDownLatch
import java.util.concurrent.TimeUnit
import javax.net.SocketFactory
import kotlin.test.assertFailsWith
import mockwebserver3.MockResponse
import mockwebserver3.MockWebServer

import java.util.List;
import java.util.Map;

import org.codelibs.fess.Constants;
import org.opensearch.search.aggregations.Aggregations;
import org.opensearch.search.aggregations.bucket.filter.Filter;
import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;