```Python hl_lines="14"
{!../../docs_src/background_tasks/tutorial001.py!}
```

`.add_task()` 接收以下参数：

* 在后台运行的任务函数(`write_notification`)。
* 应按顺序传递给任务函数的任意参数序列(`email`)。
* 应传递给任务函数的任意关键字参数(`message="some notification"`)。

## 依赖注入

使用 `BackgroundTasks` 也适用于依赖注入系统，你可以在多个级别声明 `BackgroundTasks` 类型的参数：在 *路径操作函数* 里，在依赖中(可依赖)，在子依赖中，等等。

**FastAPI** 知道在每种情况下该做什么以及如何复用同一对象，因此所有后台任务被合并在一起并且随后在后台运行：

//// tab | Python 3.10+

          </association>
        </field>
      </fields>
    </class>
    <class>
      <name>Profile</name>
      <version>1.0.0</version>
      <description><![CDATA[
        Modifications to the build process which is keyed on some
        sort of environmental parameter.
      ]]></description>
      <fields>
        <field>
          <name>id</name>
          <required>true</required>

* Eine beliebige Folge von Argumenten, die der Reihe nach an die Taskfunktion übergeben werden sollen (`email`).
* Alle Schlüsselwort-Argumente, die an die Taskfunktion übergeben werden sollen (`message="some notification"`).

## Dependency Injection

labels.handlerName=Handler Name
labels.handlerParameter=Parameters
labels.handlerScript=Scripts
labels.popularWord=Popular words
labels.ignoreFailureType=Ignored Failure Type
labels.lastAccessTime=Last Accessed
labels.notificationTo=Notification To
labels.num=Num
labels.pn=Page Number
labels.protocolScheme=Scheme
labels.purgeByBots=Purge By Bots
labels.logLevel=Log Level
labels.purgeSearchLogDay=Purge Search Log
labels.query=Query

}

func initAllSubsystems(ctx context.Context) {
	// Initialize notification peer targets
	globalNotificationSys = NewNotificationSys(globalEndpoints)

	// Create new notification system
	globalEventNotifier = NewEventNotifier(GlobalContext)

	// Create new bucket metadata system.
	if globalBucketMetadataSys == nil {

	for _, arn := range globalLambdaTargetList.List(globalSite.Region()) {
		arnMsg += color.Bold(fmt.Sprintf("%s ", arn))
	}
	logger.Startup(arnMsg + "\n")
}

// Prints bucket notification configurations.
func printEventNotifiers() {
	if globalNotificationSys == nil {
		return
	}

	arns := globalEventNotifier.GetARNList()
	if len(arns) == 0 {
		return
	}

process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that
have different security properties and provide different levels of confidence
when dealing with untrusted data. Based on the security history of these

	      <Event>s3:ObjectCreated:Put</Event>
	   </CloudFunctionConfiguration>
	   <TopicConfiguration>
	      <Topic>arn:aws:sns:us-west-2:444455556666:sns-notification-one</Topic>
	      <Event>s3:ObjectCreated:*</Event>
	  </TopicConfiguration>
	</NotificationConfiguration>
	`)

package event

import (
	"encoding/json"
	"encoding/xml"
)

// Name - event type enum.
// Refer http://docs.aws.amazon.com/AmazonS3/latest/dev/NotificationHowTo.html#notification-how-to-event-types-and-destinations
// for most basic values we have since extend this and its not really much applicable other than a reference point.
// "s3:Replication:OperationCompletedReplication" is a MinIO extension.

  // Element Mutation

  @Test
  public void putEdge_existingNodes() {
    assume().that(graphIsMutable()).isTrue();

    // Adding nodes initially for safety (insulating from possible future
    // modifications to proxy methods)
    addNode(N1);
    addNode(N2);

    assertThat(graphAsMutableGraph.putEdge(N1, N2)).isTrue();
  }

  @Test
  public void putEdge_existingEdgeBetweenSameNodes() {