when(mockChannelManager.getHealthyChannels()).thenReturn(Arrays.asList(channel1, channel2));

        ChannelInfo selected = loadBalancer.selectChannel(largeRead);
        // Should prefer higher bandwidth channel for large transfers
        assertEquals(channel2, selected);
    }

    @Test
    void testAdaptiveStrategyMetadataOperation() throws Exception {

`TestClient` 是建立在 [HTTPX](https://www.python-httpx.org) 之上，所幸我們可以直接使用它來測試 API。

## 範例 { #example }

作為簡單範例，讓我們考慮與[更大型的應用](../tutorial/bigger-applications.md)與[測試](../tutorial/testing.md)中描述的類似檔案結構：

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   └── test_main.py
```

檔案 `main.py` 會是：

## Ejemplo { #example }

Para un ejemplo simple, consideremos una estructura de archivos similar a la descrita en [Aplicaciones Más Grandes](../tutorial/bigger-applications.md) y [Testing](../tutorial/testing.md):

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   └── test_main.py
```

El archivo `main.py` tendría:

## Exemple { #example }

Pour un exemple simple, considérons une structure de fichiers similaire à celle décrite dans [Applications plus grandes](../tutorial/bigger-applications.md) et [Tests](../tutorial/testing.md) :

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   └── test_main.py
```

Le fichier `main.py` contiendrait :

    * De ce fait, en utilisant FastAPI on minimise le temps de développement, les bugs, le nombre de lignes de code, et on obtient probablement les mêmes performances (voire de meilleures performances) que l'on aurait pu avoir sans ce framework (car il aurait fallu tout implémenter dans votre code).

   * serialization.
   *
   * <p>Use {@linkplain #readFrom(InputStream, Funnel)} to reconstruct the written BloomFilter.
   */
  public void writeTo(OutputStream out) throws IOException {
    // Serial form:
    // 1 signed byte for the strategy
    // 1 unsigned byte for the number of hash functions
    // 1 big endian int, the number of longs in our bitset
    // N big endian longs of our bitset

   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the map
   * at a time, but since read operations can proceed concurrently, this still yields higher

## Configuraciones en otro módulo { #settings-in-another-module }

Podrías poner esas configuraciones en otro archivo de módulo como viste en [Aplicaciones Más Grandes - Múltiples Archivos](../tutorial/bigger-applications.md).

Por ejemplo, podrías tener un archivo `config.py` con:

{* ../../docs_src/settings/app01_py310/config.py *}

Y luego usarlo en un archivo `main.py`:

attack](https://www.computerworld.com/article/2510951/cybercrime-hacking/hackers-spied-on-300-000-iranians-using-fake-google-certificate.html). It also assumes your HTTPS servers’ certificates are signed by a certificate authority.

Use [CertificatePinner](https://square.github.io/okhttp/5.x/okhttp/okhttp3/-certificate-pinner/) to restrict which certificates and certificate authorities are trusted. Certificate pinning increases security, but limits your server team’s abilities to update their TLS certificates....

  }

  fun readLong(): Long {
    if (bytesLeft !in 1..8) throw ProtocolException("unexpected length: $bytesLeft at $this")

    var result = source.readByte().toLong() // No "and 0xff" because this is a signed value!
    while (byteCount < limit) {
      result = result shl 8
      result += source.readByte().toInt() and 0xff
    }
    return result
  }

  fun readBitString(): BitString {