return c(ctx, network, address)
}

const (
	defaultOutQueue    = 65535    // kind of close to max open fds per user
	readBufferSize     = 32 << 10 // 32 KiB is the most optimal on Linux
	writeBufferSize    = 32 << 10 // 32 KiB is the most optimal on Linux
	defaultDialTimeout = 2 * time.Second
	connPingInterval   = 10 * time.Second
	connWriteTimeout   = 3 * time.Second
)

type connectionParams struct {

        return (DfsReferralDataImpl) base.combine(mockData);
    }

    @Nested
    @DisplayName("Interface Method Contract Tests")
    class InterfaceMethodTests {

        @Test
        @DisplayName("Should fixup host with FQDN")
        void testFixupHost() {
            String fqdn = "server.example.com";

            // Test with mock
            doNothing().when(mockReferralData).fixupHost(fqdn);

Los contenedores de Linux se ejecutan utilizando el mismo núcleo de Linux del host (máquina, máquina virtual, servidor en la nube, etc.). Esto significa que son muy ligeros (en comparación con las máquinas virtuales completas que emulan un sistema operativo completo).

     *
     * @param fessConfig the Fess configuration
     * @param host       the search engine host address
     * @return the configured HTTP client
     */
    protected Client createHttpClient(final FessConfig fessConfig, final String host) {
        final String[] hosts =
                split(host, ",").get(stream -> stream.map(String::trim).filter(StringUtil::isNotEmpty).toArray(n -> new String[n]));

	if types == madmin.MetricsNone {
		return m
	}

	byHostName := globalMinioAddr
	if len(opts.hosts) > 0 {
		server := getLocalServerProperty(globalEndpoints, &http.Request{
			Host: globalLocalNodeName,
		}, false)
		if _, ok := opts.hosts[server.Endpoint]; ok {
			byHostName = server.Endpoint
		} else {
			return m
		}
	}

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.
* Créez un fichier `main.py` avec :

```Python
from typing import Optional

Se você instalou um servidor ASGI manualmente, normalmente precisará passar uma string de importação em um formato especial para que ele importe sua aplicação FastAPI:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

<span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
```

</div>

/// note | Nota

O comando `uvicorn main:app` refere-se a:

```

</div>

////

//// tab | `uvicorn`

Si prefieres usar el comando `uvicorn` directamente:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 8080 --workers 4
<font color="#A6E22E">INFO</font>:     Uvicorn running on <b>http://0.0.0.0:8080</b> (Press CTRL+C to quit)

	}
}

type receiver interface {
	msgp.Unmarshaler
	Op() Op
}

type sender interface {
	msgp.MarshalSizer
	Op() Op
}

type connectReq struct {
	ID    [16]byte
	Host  string
	Time  time.Time
	Token string
}

// addToken will add the token to the connect request.
func (c *connectReq) addToken(fn AuthFn) {
	c.Token = fn()
}

func (connectReq) Op() Op {

			return nil, config.Errorf("kafka 'brokers' cannot be empty")
		}
		for s := range strings.SplitSeq(kafkaBrokers, config.ValueSeparator) {
			var host *xnet.Host
			host, err = xnet.ParseHost(s)
			if err != nil {
				break
			}
			brokers = append(brokers, *host)
		}
		if err != nil {
			return nil, err
		}

		queueLimitEnv := target.EnvKafkaQueueLimit
		if k != config.Default {