.removalListener(removalListener)
            .build(loader);

    // caches 2
    assertThat(cache.getUnchecked(2)).isEqualTo(2);
    assertThat(cache.asMap().keySet()).containsExactly(2);

    CacheTesting.processPendingNotifications(cache);
    assertThat(removalListener.getCount()).isEqualTo(0);

    // caches 3, evicts 2
    assertThat(cache.getUnchecked(3)).isEqualTo(3);

* Pode haver **vários processos** do **mesmo programa** em execução ao mesmo tempo.

Se você verificar o "gerenciador de tarefas" ou o "monitor do sistema" (ou ferramentas semelhantes) no seu sistema operacional, poderá ver muitos desses processos em execução.

 * calling it should not be necessary with a high throughput cache. Only caches built with {@link
 * #removalListener removalListener}, {@link #expireAfterWrite expireAfterWrite}, {@link
 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues
 * weakValues}, or {@link #softValues softValues} perform periodic maintenance.
 *
 * <p>The caches produced by {@code CacheBuilder} are serializable, and the deserialized caches

   * {@code key}, simply waits for that thread to finish and returns its loaded value. Note that
   * multiple threads can concurrently load values for distinct keys.
   *
   * <p>Caches loaded by a {@link CacheLoader} will call {@link CacheLoader#load} to load new values
   * into the cache. Newly loaded values are added to the cache using {@code

  # Repack the wheel. When repacking, the wheel would be automatically tagged
  # with the new tag we provided in ${whl_tag}. Repacking also regnerates the
  # RECORD file which contains hashes of all included files.
  python3 -m wheel pack "${pkg_name}"
done

# Switch back to the original working directory. This is needed to ensure that
# cleanup steps at the end of the script works as expected.
popd

 *
 * @since 4.0.0
 * @see CacheMetadata
 * @see RequestCacheFactory
 */
@Experimental
public interface RequestCache {

    /**
     * Executes and optionally caches a request using the provided supplier function. If caching is enabled
     * for this session, the result will be cached and subsequent identical requests will return the cached
     * value without re-executing the supplier.

 * calling it should not be necessary with a high throughput cache. Only caches built with {@link
 * #removalListener removalListener}, {@link #expireAfterWrite expireAfterWrite}, {@link
 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues
 * weakValues}, or {@link #softValues softValues} perform periodic maintenance.
 *
 * <p>The caches produced by {@code CacheBuilder} are serializable, and the deserialized caches

	b.mu.Lock()
	defer b.mu.Unlock()
	for k, v := range b.caches {
		if time.Since(v.lastUpdate) > metacacheMaxRunningAge {
			v.delete(context.Background())
			continue
		}
		v.error = "Bucket deleted"
		v.status = scanStateError
		m.mu.Lock()
		m.trash[k] = v
		m.mu.Unlock()
	}
}

// deleteAll will delete all caches.
func (m *metacacheManager) deleteAll() {
	m.init.Do(m.initManager)

* `500 - 599` são para erros do servidor. Você quase nunca os usa diretamente. Quando algo der errado em alguma parte do código do seu aplicativo ou servidor, ele retornará automaticamente um desses códigos de status.

/// tip | Dica

 * on the same [call] to process the next event.
 *
 * By forcing the list of listeners to change after every event, we can detect if buggy code caches
 * a stale [EventListener] in a field or local variable.
 */
class EventListenerRelay(
  val call: Call,
  val eventRecorder: EventRecorder,
) {
  private val eventListenerAdapter =
    EventListenerAdapter()