public String exception;
        /** Cluster health status */
        public String status;
        /** Number of in-flight fetch operations */
        public int numberOfInFlightFetch;
        /** Number of pending tasks */
        public int numberOfPendingTasks;
        /** Number of delayed unassigned shards */
        public int delayedUnassignedShards;
        /** Number of unassigned shards */

// This call may not block for execution of ops enqueued concurrently with this
// call.
TF_CAPI_EXPORT extern void TFE_ExecutorWaitForAllPendingNodes(
    TFE_Executor*, TF_Status* status);

// When an error happens, any pending operations are discarded, and newly issued
// ops return an error. This call clears the error state and re-enables
// execution of newly issued ops.
//

    public static final String DEFAULT_LIFECYCLE_MODELID = "org.apache.maven:maven-core:"
            + DefaultLifecycleRegistry.class.getPackage().getImplementationVersion()
            + ":default-lifecycle-bindings";

    public static final InputLocation DEFAULT_LIFECYCLE_INPUT_LOCATION =
            InputLocation.of(InputSource.of(DEFAULT_LIFECYCLE_MODELID, null));

    * 如果你知道 Python types，你就知道如何使用 Pydantic。
* 和你 **<abbr title="Integrated Development Environment - 集成开发环境: 类似于代码编辑器">IDE</abbr>/<dfn title="一个检查代码错误的程序">linter</dfn>/brain** 适配:
    * 因为 pydantic 数据结构仅仅是你定义的类的实例；自动补全，linting，mypy 以及你的直觉应该可以和你验证的数据一起正常工作。
* 验证**复杂结构**:
    * 使用分层的 Pydantic 模型，Python `typing` 的 `List` 和 `Dict` 等等。
    * 验证器使我们能够简单清楚地将复杂的数据模式定义、检查并记录为 JSON Schema。
    * 你可以拥有深度**嵌套的 JSON** 对象并对它们进行验证和注释。
* **可扩展**:

        if (request.isProcessPlugins()) {
            if (lifecycleBindingsInjector == null) {
                throw new IllegalStateException("lifecycle bindings injector is missing");
            }

            // lifecycle bindings injection
            lifecycleBindingsInjector.injectLifecycleBindings(resultModel, request, problems);
        }

        // dependency management import

	batchKeyRotateAPIVersion           = "v1"
	batchKeyRotateJobDefaultRetries    = 3
	batchKeyRotateJobDefaultRetryDelay = 25 * time.Millisecond
)

// Start the batch key rottion job, resumes if there was a pending job via "job.ID"
func (r *BatchJobKeyRotateV1) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),

    * 如果你知道 Python 型別，你就知道如何使用 Pydantic。
* 和你的 **<abbr title="Integrated Development Environment - 整合開發環境: 類似於程式碼編輯器">IDE</abbr>/<dfn title="檢查程式碼錯誤的程式">linter</dfn>/brain** 都能好好配合：
    * 因為 Pydantic 的資料結構其實就是你自己定義的類別實例，所以自動補齊、linting、mypy 以及你的直覺都能很好地在經過驗證的資料上發揮作用。
* 驗證**複雜結構**：
    * 使用 Pydantic 模型時，你可以把資料結構分層設計，並且用 Python 的 `List` 和 `Dict` 等型別來定義。
    * 驗證器讓我們可以輕鬆地定義和檢查複雜的資料結構，並把它們轉換成 JSON Schema 進行記錄。
    * 你可以擁有深層**巢狀的 JSON** 物件，並對它們進行驗證和註釋。

     * `CollectionFuture.values`). This might be a no-op: If this future completed during
     * handleAllCompleted(), they will already have been nulled out. But in the case of
     * whenAll*().call*(), this future may be pending until the callback runs -- or even longer in
     * the case of callAsync(), which waits for the callback's returned future to complete.
     */
    releaseResources(ALL_INPUT_FUTURES_PROCESSED);
  }

  /**

It brings the same **developer experience** of building apps with FastAPI to **deploying** them to the cloud. 🎉

FastAPI Cloud is the primary sponsor and funding provider for the *FastAPI and friends* open source projects. ✨

#### Deploy to other cloud providers { #deploy-to-other-cloud-providers }

  /**
   * This method is called by {@link #stopAsync} when the service is still starting (i.e. {@link
   * #startAsync} has been called but {@link #notifyStarted} has not). Subclasses can override the
   * method to cancel pending work and then call {@link #notifyStopped} to stop the service.
   *
   * <p>This method should return promptly; prefer to do work on a different thread where it is