labels.notification_search_top=Search Top Page
labels.storage_endpoint=Endpoint
labels.storage_access_key=Access Key
labels.storage_secret_key=Secret Key
labels.storage_bucket=Bucket
labels.send_testmail=Send Test Mail
labels.backup_configuration=Backup
labels.backup_name=Name
labels.backup_bulk_file=Bulk File
labels.backup_button_upload=Upload

        return RegistryBuilder.<CookieSpecProvider> create()//
                .register(CookieSpecs.DEFAULT, defaultProvider)//
                .register("best-match", defaultProvider)//
                .register("compatibility", defaultProvider)//
                .register(CookieSpecs.STANDARD, laxStandardProvider)//

import org.opensearch.common.unit.TimeValue;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.core.action.ActionListener;
import org.opensearch.core.action.ActionResponse;
import org.opensearch.core.rest.RestStatus;
import org.opensearch.index.query.InnerHitBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.reindex.UpdateByQueryRequest;

* [action required] The `MasterConfiguration` kind in the kubeadm v1alpha2 API has been renamed `InitConfiguration`...

這與 **FastAPI** 所能提供的性能水平相同。

你可以同時利用並行性和平行性，進一步提升效能，這比大多數已測試的 NodeJS 框架都更快，並且與 Go 語言相當，而 Go 是一種更接近 C 的編譯語言（<a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">感謝 Starlette</a>）。

### 並行比平行更好嗎？

不是的！這不是故事的本意。

並行與平行不同。並行在某些 **特定** 的需要大量等待的情境下表現更好。正因如此，並行在 Web 應用程式開發中通常比平行更有優勢。但並不是所有情境都如此。

因此，為了平衡報導，想像下面這個短故事

  //
  // A consequence of these requirements is that the delegate futures cannot be stored in
  // final fields.
  //
  // For simplicity the rest of this description will discuss Futures.catching since it is the
  // simplest instance, though very similar descriptions apply to many other classes in this file.
  //

ando","Math","random","replace","isReady","error","msg","noop","proto","Ctor","isEmptyObject","globalEval","textContent","documentElement","nodeValue","makeArray","results","inArray","isXMLDoc","namespace","namespaceURI","docElem","ownerDocument","test","second","invert","matches","callbackExpect","arg","value","guid","Symbol","iterator","split","_i","pop","whitespace","rtrimCSS","RegExp","contains","a","b","bup","compareDocumentPosition","rcssescape","fcssescape","ch","asCodePoint","charCodeAt"...

    assertFinallyFailsWithException(closingFuture);
    waitUntilClosed(closingFuture);
    assertStillOpen(closeable1);
    assertClosed(closeable2, closeable3);
  }

  // We don't need to test the happy case for SuccessfulCombiner.call(Async) because it's the same
  // as Combiner.

  public void testWhenAllSucceed_call_failedInput() throws Exception {
    assertFinallyFailsWithException(

    }
  }

  private static <K extends Enum<K>, V> ImmutableMap<K, ? extends V> copyOfEnumMap(
      EnumMap<?, ? extends V> original) {
    @SuppressWarnings("unchecked") // the best we could do to make copyOf(Map) compile
    EnumMap<K, V> copy = new EnumMap<>((EnumMap<K, ? extends V>) original);
    for (Entry<K, V> entry : copy.entrySet()) {
      checkEntryNotNull(entry.getKey(), entry.getValue());

      }

      @Override
      public void forEach(Consumer<? super T> action) {
        checkNotNull(action);
        unfiltered.forEach(
            (@ParametricNullness T a) -> {
              if (retainIfTrue.test(a)) {
                action.accept(a);
              }
            });
      }

      @Override
      public Spliterator<T> spliterator() {