* values.length) are all {@code null}.
   */
  @VisibleForTesting transient @Nullable Object @Nullable [] values;

  /**
   * Keeps track of metadata like the number of hash table bits and modifications of this data
   * structure (to make it possible to throw ConcurrentModificationException in the iterator). Note
   * that we choose not to make this volatile, so we do less of a "best effort" to track such
   * errors, for better performance.

import jcifs.smb1.dcerpc.ndr.NdrObject;
import jcifs.smb1.dcerpc.ndr.NdrSmall;

/**
 * LSA RPC (Local Security Authority Remote Procedure Call) definitions.
 * Provides interface definitions and data structures for LSA RPC operations.
 */
public class lsarpc {

    /**
     * Private constructor to prevent instantiation of utility class.
     */
    private lsarpc() {
        // Utility class
    }

و چون می‌تونی هم‌زمانی و موازی‌سازی رو همزمان داشته باشی، عملکرد بالاتری از بیشتر فریم‌ورک‌های تست‌شده NodeJS می‌گیری و هم‌تراز با Go، که یه زبون کامپایل‌شده نزدیک به C هست <a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(همه اینا به لطف Starlette)</a>.

### آیا هم‌زمانی از موازی‌سازی بهتره؟

نه! این نتیجه داستان نیست.

sidebar-collapse .sidebar-search-results {\n  display: none;\n}\n\n[data-widget=\"sidebar-search\"] input[type=\"search\"]::-ms-clear, [data-widget=\"sidebar-search\"] input[type=\"search\"]::-ms-reveal {\n  display: none;\n  width: 0;\n  height: 0;\n}\n\n[data-widget=\"sidebar-search\"] input[type=\"search\"]::-webkit-search-cancel-button, [data-widget=\"sidebar-search\"] input[type=\"search\"]::-webkit-search-decoration, [data-widget=\"sidebar-search\"] input[type=\"search\"]::-webkit-search-results-button,...

- Kubeadm will cleanup the stale data on best effort basis. Stale data will be removed when each reset phase are executed, default etcd data directory will be cleanup when the `remove-etcd-member` phase are executed. ([#110972](https://github.com/kubernetes/kubernetes/pull/110972), [@chendave](https://github.com/chendave)) [SIG Cluster...

- Fixes a 1.29.0 regression that introduced a possible data race that could cause panics in kube-controller-manager and kube-scheduler ([#124518](https://github.com/kubernetes/kubernetes/pull/124518), [@wojtek-t](https://github.com/wojtek-t)) [SIG API Machinery and Scheduling]

   * the returned list is unspecified.
   *
   * <p>The returned list is serializable.
   *
   * <p><b>Note:</b> when possible, you should represent your data as an {@link ImmutableLongArray}
   * instead, which has an {@link ImmutableLongArray#asList asList} view.
   *
   * @param backingArray the array to back the list
   * @return a list view of the array
   */

這種類型的非同步性正是 NodeJS 成功的原因（儘管 NodeJS 不是平行的），這也是 Go 語言作為程式語言的一個強大優勢。

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。

  Note that the default stored version remained alpha in 1.34, and whoever enabled beta during 1.34 needed to run a storage migration yourself to ensure you don't depend on alpha data in etcd. ([#132821](https://github.com/kubernetes/kubernetes/pull/132821), [@cici37](https://github.com/cici37)) [SIG API Machinery, Etcd and Testing]

  final Policy policy;

  private CycleDetectingLockFactory(Policy policy) {
    this.policy = checkNotNull(policy);
  }

  /**
   * Tracks the currently acquired locks for each Thread, kept up to date by calls to {@link
   * #aboutToAcquire(CycleDetectingLock)} and {@link #lockStateChanged(CycleDetectingLock)}.
   */
  // This is logically a Set, but an ArrayList is used to minimize the amount