internal fun scheduleAndDecide(
    task: Task,
    delayNanos: Long,
    recurrence: Boolean,
  ): Boolean {
    task.initQueue(this)

    val now = taskRunner.backend.nanoTime()
    val executeNanoTime = now + delayNanos

    // If the task is already scheduled, take the earlier of the two times.
    val existingIndex = futureTasks.indexOf(task)
    if (existingIndex != -1) {

Being able to use asynchronous functions in your tests could be useful, for example, when you're querying your database asynchronously. Imagine you want to test sending requests to your FastAPI application and then verify that your backend successfully wrote the correct data in the database, while using an async database library.

Let's look at how we can make that work.

## pytest.mark.anyio

import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/discovery/v1";

// Endpoint represents a single logical "backend" implementing a service.
message Endpoint {
  // addresses of this endpoint. The contents of this field are interpreted
  // according to the corresponding EndpointSlice addressType field. Consumers

* To pass *headers*, use a `dict` in the `headers` parameter.
* For *cookies*, a `dict` in the `cookies` parameter.

For more information about how to pass data to the backend (using `httpx` or the `TestClient`) check the <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX documentation</a>.

!!! info

import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/discovery/v1beta1";

// Endpoint represents a single logical "backend" implementing a service.
message Endpoint {
  // addresses of this endpoint. The contents of this field are interpreted
  // according to the corresponding EndpointSlice addressType field. Consumers

<div class="termy">

```console
$ hypercorn main:app --worker-class trio
```

</div>

Und das startet Hypercorn mit Ihrer Anwendung und verwendet Trio als Backend.

Jetzt können Sie Trio intern in Ihrer Anwendung verwenden. Oder noch besser: Sie können AnyIO verwenden, sodass Ihr Code sowohl mit Trio als auch asyncio kompatibel ist. 🎉

## Konzepte des Deployments

			if q.Size > 0 {
				quotaSize = int64(q.Size)
			} else if q.Quota > 0 {
				quotaSize = int64(q.Quota)
			}
		}

		if quotaSize == 0 {
			info := objAPI.StorageInfo(ctx, true)
			info.Backend = objAPI.BackendInfo()

			ci.Capacity = int64(GetTotalUsableCapacity(info.Disks, info))
		} else {
			ci.Capacity = quotaSize
		}
		ci.Available = ci.Capacity - ci.Used

		buf = encodeResponse(&ci)

func getStorageInfoMsg(storageInfo StorageInfo) string {
	var msg string
	var mcMessage string
	onlineDisks, offlineDisks := getOnlineOfflineDisksStats(storageInfo.Disks)
	if storageInfo.Backend.Type == madmin.Erasure {
		if offlineDisks.Sum() > 0 {
			mcMessage = "Use `mc admin info` to look for latest server/drive info\n"
		}

<div class="termy">

```console
$ hypercorn main:app --worker-class trio
```

</div>

And that will start Hypercorn with your app using Trio as the backend.

Now you can use Trio internally in your app. Or even better, you can use AnyIO, to keep your code compatible with both Trio and asyncio. 🎉

## Deployment Concepts

* Um *Header* zu übergeben, verwenden Sie ein `dict` im `headers`-Parameter.
* Für *Cookies* ein `dict` im `cookies`-Parameter.

Weitere Informationen zum Übergeben von Daten an das Backend (mithilfe von `httpx` oder dem `TestClient`) finden Sie in der <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX-Dokumentation</a>.

!!! info