#### Renvoyer directement une `HTMLResponse` { #return-an-htmlresponse-directly }

Par exemple, cela pourrait être quelque chose comme :

{* ../../docs_src/custom_response/tutorial004_py310.py hl[7,21,23] *}

Dans cet exemple, la fonction `generate_html_response()` génère déjà et renvoie une `Response` au lieu de renvoyer le HTML dans une `str`.

		return map[string]BucketReplicationStats{}
	}

	r.RLock()

	bucketReplicationStats := make(map[string]BucketReplicationStats, len(r.Cache))
	for k, v := range r.Cache {
		bucketReplicationStats[k] = v.Clone()
	}
	r.RUnlock()
	for k, v := range bucketReplicationStats {
		v.QStat = r.qCache.getBucketStats(k)
		bucketReplicationStats[k] = v
	}

	return bucketReplicationStats
}

3. **Commit** your changes (`git commit -m 'Add amazing feature'`)
4. **Push** to the branch (`git push origin feature/amazing-feature`)
5. **Open** a Pull Request

### Development Setup

```bash
# Clone the repository
git clone https://github.com/codelibs/fess-crawler.git
cd fess-crawler

# Build the project
mvn clean install

# Run tests
mvn test

# Format code before committing
mvn formatter:format

    }

    @Test
    @DisplayName("writeSecurityBuffer writes zero length buffer unchanged")
    void testWriteSecurityBufferZeroLength() {
        byte[] dest = new byte[10];
        byte[] before = dest.clone();
        NtlmMessage.writeSecurityBuffer(dest, 0, 4, null);
        assertArrayEquals(before, dest, "Zero length should leave dest unchanged");
    }

    @Test

    if (eventSequence.isEmpty()) {
      assertThat(e).isInstanceOf(ConnectionEvent.ConnectStart::class.java)
    } else {
      eventSequence.forEach loop@{
        when (e.closes(it)) {
          null -> return

          // no open event
          true -> return

          // found open event
          false -> return@loop // this is not the open event so continue
        }

Primero, necesitas importar `BaseModel` de `pydantic`:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Crea tu modelo de datos { #create-your-data-model }

Luego, declaras tu modelo de datos como una clase que hereda de `BaseModel`.

Usa tipos estándar de Python para todos los atributos:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

   * expression {@code o -> Optional.toJavaUtil(o)} instead.
   *
   * @since 33.4.0 (but since 21.0 in the JRE flavor)
   */
  @SuppressWarnings({
    "AmbiguousMethodReference", // We chose the name despite knowing this risk.
    "NullableOptional", // Null passthrough is reasonable for type conversions
  })
  // If users use this when they shouldn't, we hope that NewApi will catch subsequent Optional calls

    operation ->> dep_func: Return from path operation
    Note over dep_func: Run code after yield
    Note over dep_func: ✅ Dependency closed
    dep_func ->> client: Send response to client
    Note over client: Response sent
    Note over dep_req: Run code after yield
    Note over dep_req: ✅ Dependency closed
```

## 含 `yield`、`HTTPException`、`except` 與背景任務的相依 { #dependencies-with-yield-httpexception-except-and-background-tasks }

     * @throws PACDecodingException if the PAC data is malformed or signature validation fails
     */
    public Pac(byte[] data, Map<Integer, KerberosKey> keys) throws PACDecodingException {
        byte[] checksumData = data.clone();
        try {
            PacDataInputStream pacStream = new PacDataInputStream(new DataInputStream(new ByteArrayInputStream(data)));

            if (data.length <= 8) {

Pour en savoir plus sur `Request`, consultez [la documentation de Starlette sur les requêtes](https://www.starlette.dev/requests/).

///

La seule chose que fait différemment la fonction renvoyée par `GzipRequest.get_route_handler`, c'est de convertir la `Request` en `GzipRequest`.