# all copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

  left: 50%;
  transform: translate(-50%, -50%);
}

.user .title {
  text-align: center;
}

.user .count {
  font-size: 80%;
  text-align: center;
}

a.announce-link:link,
a.announce-link:visited {
  color: #fff;
}

a.announce-link:hover {
  color: var(--md-accent-fg-color);
}

.announce-wrapper {
  display: flex;
  justify-content: space-between;
  flex-wrap: wrap;
  align-items: center;

---

Exemplos comuns de limite de CPU são coisas que exigem processamento matemático complexo.

Por exemplo:

* **Processamento de áudio** ou **imagem**

### Fixes

* 🐛 Allow exit code for dependencies with `yield` to always execute, by removing capacity limiter for them, to e.g. allow closing DB connections without deadlocks. PR [#5122](https://github.com/tiangolo/fastapi/pull/5122) by [@adriangb](https://github.com/adriangb).

## Uvicorn with Workers

Uvicorn also has an option to start and run several **worker processes**.

Nevertheless, as of now, Uvicorn's capabilities for handling worker processes are more limited than Gunicorn's. So, if you want to have a process manager at this level (at the Python level), then it might be better to try with Gunicorn as the process manager.

In any case, you would run it like this:

* Replication (the number of processes running)
* Memory
* Previous steps before starting

## Memory

If you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

    # since we're creating a new limiter for each call, any non-zero limit
    # works (1 is arbitrary)
    exit_limiter = CapacityLimiter(1)
    try:
        yield await run_in_threadpool(cm.__enter__)
    except Exception as e:
        ok = bool(
            await anyio.to_thread.run_sync(
                cm.__exit__, type(e), e, None, limiter=exit_limiter
            )
        )
        if not ok:

```Python hl_lines="6"
{!../../../docs_src/path_operation_advanced_configuration/tutorial003.py!}
```

## Description avancée de docstring

Vous pouvez limiter le texte utilisé de la docstring d'une *fonction de chemin* qui sera affiché sur OpenAPI.

L'ajout d'un `\f` (un caractère d'échappement "form feed") va permettre à **FastAPI** de tronquer la sortie utilisée pour OpenAPI à ce stade.

Aqui também estou destacando contribuições de patrocinadores.

                mode="serialization",
            )
            # Create a clone of the field, so that a Pydantic submodel is not returned
            # as is just because it's an instance of a subclass of a more limited class
            # e.g. UserInDB (containing hashed_password) could be a subclass of User
            # that doesn't have the hashed_password. But because it's a subclass, it