.put(3, 0x9fcc3c3fde4d5ff7L)
          .put(2, 0x090966a836e5fa4bL)
          .put(1, 0x8199675ecaa6fe64L)
          .put(0, 0x23ad7c904aa665e3L)
          .build();
  private static final HashFunction HASH_FN = Hashing.fingerprint2011();

  // If this test fails, all bets are off
  @SuppressWarnings("InlineMeInliner") // String.repeat unavailable under Java 8
  public void testReallySimpleFingerprints() {

        boolQuery.filter(roleQuery);
    }

    /**
     * Builds boost query functions to modify document scoring based on various factors.
     * This method adds field value factors, key matching boosts, and custom boost functions.
     *
     * @param queryContext the query context to add boost functions to
     */
    protected void buildBoostQuery(final QueryContext queryContext) {

 * <ul>
 * <li>Collections with good/bad URL patterns</li>
 * <li>Global parameters including start URLs and filtering rules</li>
 * <li>User agent settings</li>
 * <li>URL pattern matching with regular expressions and contains filters</li>
 * </ul>
 *
 */
public class GsaConfigParser extends DefaultHandler {

    /** Logger instance for this class. */

import java.util.Set;
import org.jspecify.annotations.Nullable;

/**
 * A multiset which forwards all its method calls to another multiset. Subclasses should override
 * one or more methods to modify the behavior of the backing multiset as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingMultiset} forward <b>indiscriminately</b> to

### Remotely Inspecting backend data

    /**
     * Retrieves a paginated list of job logs based on the provided pager configuration.
     *
     * @param jobLogPager the pager configuration for pagination and filtering
     * @return a list of job logs matching the criteria
     */
    public List<JobLog> getJobLogList(final JobLogPager jobLogPager) {

        final PagingResultBean<JobLog> jobLogList = jobLogBhv.selectPage(cb -> {

Aquí hay un poquito de esa historia.

## Alternativas

He estado creando APIs con requisitos complejos durante varios años (Machine Learning, sistemas distribuidos, trabajos asíncronos, bases de datos NoSQL, etc.), liderando varios equipos de desarrolladores.

Como parte de eso, necesitaba investigar, probar y usar muchas alternativas.

Here's a little bit of that history.

## Alternatives { #alternatives }

I have been creating APIs with complex requirements for several years (Machine Learning, distributed systems, asynchronous jobs, NoSQL databases, etc), leading several teams of developers.

As part of that, I needed to investigate, test and use many alternatives.

 * streams.
 *
 * <p><i>Performance notes:</i> Unless otherwise noted, all of the iterables produced in this class
 * are <i>lazy</i>, which means that their iterators only advance the backing iteration when
 * absolutely necessary.
 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/CollectionUtilitiesExplained#iterables">{@code
 * Iterables}</a>.
 *

    // Start by looking for exact matches. We start at the leftmost label. For example, foo.bar.com
    // will look like: [foo, bar, com], [bar, com], [com]. The longest matching rule wins.
    var exactMatch: String? = null
    for (i in domainLabelsUtf8Bytes.indices) {
      val rule = publicSuffixList.bytes.binarySearch(domainLabelsUtf8Bytes, i)
      if (rule != null) {
        exactMatch = rule