*    to use `H2_PRIOR_KNOWLEDGE` but the URL's scheme is `https:`.
 *  * Preemptive proxy authentication failed.
 *
 * Planning failures are not necessarily fatal. For example, even if we can't DNS lookup the first
 * proxy in a list, looking up a subsequent one may succeed.
 */
internal class FailedPlan(
  e: Throwable,
) : RoutePlanner.Plan {

"oCnAoSQFtdVQtKwrB73j","accessKey":"dillon-service-2","secretKey":"dillon-service-2","groups":null,"claims":{"accessKey":"dillon-service-2","at_hash":"LL4jvrkBRNQhOKiC83RL","aud":"minio-client-app","c_hash":"fjGB4ldChsaf9vSFdZ1P","email":"dillon@example.io","email_verified":true,"groups":["projecta","projectb"],"iat":1726558680,"iss":"http://127.0.0.1:5556/dex","name":"Dillon Harper","parent":"oCnAoSQFtdVQtKwrB73j","preferred_username":"dillon","roleArn":"arn:minio:iam:::role/nOybJqMNzNmroqEKq5D...

        String componentName = namingConvention.fromClassNameToComponentName("com.example.TestPager");
        assertNotNull(componentName);
        assertEquals("testPager", componentName);

        // Test with class name not ending with Pager
        String nonPagerComponentName = namingConvention.fromClassNameToComponentName("com.example.TestService");
        assertNotNull(nonPagerComponentName);

        checkBinaryCompatible(
            v2 = {
                withFile(
                    "kotlin/com/example/Source.kt",
                    """
                    @file:Incubating
                    package com.example

                    import org.gradle.api.Incubating

Puedes definir esos casos usando una lista en la declaración del tipo.

Recibirás todos los valores del header duplicado como una `list` de Python.

Por ejemplo, para declarar un header de `X-Token` que puede aparecer más de una vez, puedes escribir:

{* ../../docs_src/header_params/tutorial003_an_py310.py hl[9] *}

Si te comunicas con esa *path operation* enviando dos headers HTTP como:

You could **deploy a server** yourself using a combination of tools, you could use a **cloud service** that does part of the work for you, or other possible options.

For example, we, the team behind FastAPI, built [**FastAPI Cloud**](https://fastapicloud.com), to make deploying FastAPI apps to the cloud as streamlined as possible, with the same developer experience of working with FastAPI.

```

接著呼叫：

```Python
user_dict = user_in.model_dump()
```

此時變數 `user_dict` 會是一個承載資料的 `dict`（也就是 `dict`，而非 Pydantic 模型物件）。

若再呼叫：

```Python
print(user_dict)
```

我們會得到一個 Python `dict`：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': 'john.doe@example.com',
    'full_name': None,
}
```

/// tip | Consejo

Si quieres hacer streaming de datos binarios, por ejemplo video o audio, Revisa la guía avanzada: [Stream Data](../advanced/stream-data.md).

///

## Streaming de SSE con FastAPI { #stream-sse-with-fastapi }

/// tip | Consejo

Si quieres hacer stream de datos binarios, por ejemplo video o audio, Revisa la guía avanzada: [Transmitir datos](../advanced/stream-data.md).

///

## Transmitir JSON Lines con FastAPI { #stream-json-lines-with-fastapi }

Comme **FastAPI** n'apporte aucune modification à une `Response` que vous renvoyez, vous devez vous assurer que son contenu est prêt pour cela.

Par exemple, vous ne pouvez pas mettre un modèle Pydantic dans une `JSONResponse` sans d'abord le convertir en un `dict` avec tous les types de données (comme `datetime`, `UUID`, etc.) convertis en types compatibles JSON.