if err != nil {
		return cfg, err
	}
	if replicationMaxWorkers <= 0 || replicationMaxWorkers > 500 {
		return cfg, config.ErrInvalidReplicationWorkersValue(nil).Msg("Number of replication workers should be between 1 and 500")
	}
	cfg.ReplicationMaxWorkers = replicationMaxWorkers

			Optional:    true,
			Type:        "int",
		},
		config.HelpKV{
			Key:         DriveWorkers,
			Description: `the number of workers per drive to heal a new disk replacement` + defaultHelpPostfix(DriveWorkers),
			Optional:    true,
			Type:        "int",
		},
	}

```console
$ pip install "hypercorn[trio]"
---> 100%
```

</div>

### Exécuter avec Trio

Ensuite, vous pouvez passer l'option de ligne de commande `--worker-class` avec la valeur `trio` :

<div class="termy">

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

</div>

Et cela démarrera Hypercorn avec votre application en utilisant Trio comme backend.

		config.HelpKV{
			Key:         apiReplicationMaxWorkers,
			Description: `set the maximum number of replication workers` + defaultHelpPostfix(apiReplicationMaxWorkers),
			Optional:    true,
			Type:        "number",
		},
		config.HelpKV{
			Key:         apiTransitionWorkers,
			Description: `set the number of transition workers` + defaultHelpPostfix(apiTransitionWorkers),
			Optional:    true,
			Type:        "number",
		},

Но во многих случаях вы захотите одновременно запустить несколько процессов‑воркеров.

### Несколько процессов — Воркеры { #multiple-processes-workers }

* la tarea en segundo plano
* la función de tarea

* la plantilla
* el motor de plantillas

* la anotación de tipos
* la anotación de tipos

* el worker del servidor
* el worker de Uvicorn
* el Gunicorn Worker
* el worker process
* la worker class
* la carga de trabajo

* el despliegue
* desplegar

* el SDK
* el kit de desarrollo de software

* el `APIRouter`

* der Task
* der Hintergrundtask
* die Taskfunktion

* das Template
* die Template-Engine

* die Typannotation
* der Typhinweis

* der Serverworker
* der Uvicorn-Worker
* der Gunicorn-Worker
* der Workerprozess
* die Workerklasse
* die Workload

* das Deployment
* deployen

* das SDK
* das Software Development Kit

* der `APIRouter`
* die `requirements.txt`

    .read("secret/elasticsearch-ci/gradle-build-cache")
    .getData()
  gradle.settingsEvaluated { settings ->
    settings.buildCache {
      local {
        // Disable the local build cache in CI since we use ephemeral workers and it incurs an IO penalty
        enabled = false
      }
      remote(HttpBuildCache) {
        url = buildCacheUrl
        push = buildCachePush
        credentials {

func (m *rateMeasurement) getExpMovingAvgBytesPerSecond() float64 {
	m.lock.Lock()
	defer m.lock.Unlock()
	return m.expMovingAvg
}

// ActiveWorkerStat is stat for active replication workers
type ActiveWorkerStat struct {
	Curr int     `json:"curr"`
	Avg  float32 `json:"avg"`
	Max  int     `json:"max"`
	hist metrics.Histogram
}

func newActiveWorkerStat(r metrics.Registry) *ActiveWorkerStat {

    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
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