a documentation issue (for small doc fixes please send a PR instead).
1.  Make sure the Issue Template is filled out.
1.  The issue should be related to the repo it is created in.

**Here's why we have this policy:** We want to focus on the work that benefits
the whole community, e.g., fixing bugs and adding features. Individual support
should be sought on Stack Overflow or other non-GitHub channels. It helps us to

    legacy_request_state_context_var.reset(contextvar_token)


@app.middleware("http")
async def custom_middleware(
    request: Request, call_next: Callable[[Request], Awaitable[Response]]
):
    response = await call_next(request)
    response.headers["custom"] = "foo"
    return response


@app.get("/user", dependencies=[Depends(set_up_request_state_dependency)])
def get_user():

dill == 0.3.7
astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev

	}
	return len(mwhs.Items) > 0
}

// DeactivateIstioInjectionWebhook deactivates the istio-injection webhook from the given MutatingWebhookConfiguration if exists.
// used rather than just deleting the webhook since we want to keep it around after changing the default so user can later
// switch back to it. This is a hack but it is meant to cover a corner case where a user wants to migrate from a non-revisioned

    Como sempre, no FastAPI você pode combinar `def` e `async def` conforme necessário.

    Se você precisar de uma atualização sobre quando usar qual, confira a seção _"Com pressa?"_ na documentação sobre [`async` e `await`](../async.md#in-a-hurry){.internal-link target=_blank}.

9. Esta *função de operação de rota* não está retornando dataclasses (embora pudesse), mas uma lista de dicionários com dados internos.

            return getResponse(1, TimeUnit.MINUTES);
        }

        public RESPONSE getResponse(final long time, final TimeUnit unit) {
            try {
                final boolean isTimeout = !latch.await(time, unit);
                if (isTimeout) {
                    throw new SuggesterException("Request timeout. time:" + time + " unit:" + unit.name());
                }
                if (error != null) {

Lorsqu'on se réfère à la machine distante, il est courant de l'appeler **serveur**, mais aussi **machine**, **VM** (machine virtuelle), **nœud**. Tout cela fait référence à un type de machine distante, exécutant  Linux, en règle générale, sur laquelle vous exécutez des programmes.


## Installer le programme serveur

Vous pouvez installer un serveur compatible ASGI avec :

## Required query parameters

When you declare a default value for non-path parameters (for now, we have only seen query parameters), then it is not required.

If you don't want to add a specific value but just make it optional, set the default as `None`.

But when you want to make a query parameter required, you can just not declare any default value:

```Python hl_lines="6-7"
{!../../docs_src/query_params/tutorial005.py!}
```

  elif is_windows():
    default_cc_opt_flags = '/arch:AVX'
  else:
    # On all other platforms, no longer use `-march=native` as this can result
    # in instructions that are too modern being generated. Users that want
    # maximum performance should compile TF in their environment and can pass
    # `-march=native` there.
    # See https://github.com/tensorflow/tensorflow/issues/45744 and duplicates

8. 注意，*路径操作函数*使用的是普通函数，不是异步函数；

    与往常一样，在 FastAPI 中，可以按需组合普通函数与异步函数；

    如果不清楚何时使用异步函数或普通函数，请参阅**急不可待？**一节中对 <a href="https://fastapi.tiangolo.com/async/#in-a-hurry" target="_blank" class="internal-link">`async` 与 `await`</a> 的说明；

9. *路径操作函数*返回的不是数据类（虽然它可以返回数据类），而是返回内含数据的字典列表；

    FastAPI 使用（包含数据类的） `response_model` 参数转换响应。

把 `dataclasses` 与其它类型注解组合在一起，可以组成不同形式的复杂数据结构。

更多内容详见上述代码内的注释。

## 深入学习