Mais si vous souhaitez utiliser directement **Trio**, vous pouvez utiliser **Hypercorn** car il le prend en charge. ✨

### Installer Hypercorn avec Trio

Vous devez d'abord installer Hypercorn avec le support Trio :

<div class="termy">

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

</div>

### Exécuter avec Trio

        final StringBuilder buf = new StringBuilder(100);
        buf.append("{\"@timestamp\":\"").append(valueMap.remove("time")).append('"');
        buf.append(",\"log.level\":\"INFO\"");
        buf.append(",\"ecs.version\":\"").append(ecsVersion).append('"');
        buf.append(",\"service.name\":\"").append(ecsServiceName).append('"');

     * 
     * Property <tt>jcifs.smb.client.password</tt>
     * 
     * @return default credentials, password
     */
    String getDefaultPassword ();


    /**
     * Lanman compatibility level
     * 
     * {@href https://technet.microsoft.com/en-us/library/cc960646.aspx}
     * 
     * 
     * <table>
     * <tr>
     * <td>0 or 1</td>
     * <td>LM and NTLM</td>
     * </tr>

        addSystemProperty(cmdList, "fess.log.name", getLogName("fess"), getLogName(StringUtil.EMPTY));
        if (logLevel != null) {
            cmdList.add("-Dfess.log.level=" + logLevel);
        }
        stream(fessConfig.getJvmThumbnailOptionsAsArray())
                .of(stream -> stream.filter(StringUtil::isNotBlank).forEach(value -> cmdList.add(value)));

```sh
curl https://play.min.io/minio/v2/metrics/cluster
```

### List of metrics reported Cluster and Bucket level

[The list of metrics reported can be here](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/list.md)

### Configure Alerts for Prometheus

 */
@Beta
@DoNotMock("Use NetworkBuilder to create a real instance")
@ElementTypesAreNonnullByDefault
public interface Network<N, E> extends SuccessorsFunction<N>, PredecessorsFunction<N> {
  //
  // Network-level accessors
  //

  /** Returns all nodes in this network, in the order specified by {@link #nodeOrder()}. */
  Set<N> nodes();

Por padrão, teremos o **recarregamento automático** ativo, então o programa irá recarregar o servidor automaticamente toda vez que você fizer mudanças no seu código. Isso usa muitos recursos e pode ser menos estável. Você deve apenas usá-lo em modo de desenvolvimento.

O servidor de desenvolvimento escutará no endereço de IP `127.0.0.1` por padrão, este é o IP que sua máquina usa para se comunicar com ela mesma (`localhost`).

## `fastapi run`

Tout d'abord, vous voudrez peut-être voir les moyens de base pour [aider FastAPI et obtenir de l'aide](help-fastapi.md){.internal-link target=_blank}.

## Développement

Si vous avez déjà cloné le dépôt et que vous savez que vous devez vous plonger dans le code, voici quelques directives pour mettre en place votre environnement.

### Environnement virtuel avec `venv`

For example, the the following returns a list of all available bucket metrics:
```
/minio/metrics/v3/api/bucket?list
```

## Metric Categories

At a high level, metrics are grouped into categories as described in the following sections. The path in each of the tables is relative to the top-level endpoint. Note that the standard GoCollector metrics are not shown.

### Request metrics

Metrics about requests served by the current node.

  @JvmName("-deprecated_executorService")
  @Deprecated(
    message = "moved to val",
    replaceWith = ReplaceWith(expression = "executorService"),
    level = DeprecationLevel.ERROR,
  )
  fun executorService(): ExecutorService = executorService