"type": "object",
                        "properties": {
                            "name": {"title": "Name", "type": "string"},
                            "total": {"title": "Total", "type": "number"},
                        },
                    },
                    "HTTPValidationError": {
                        "title": "HTTPValidationError",
                        "type": "object",

                                "title": "Price",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        # TODO: remove when deprecating Pydantic v1
                        | IsDict({"title": "Price", "type": "number"}),
                    },
                },
                "ValidationError": {

Sie können sehen, dass:

* Der Gunicorn **Prozessmanager** beginnt, mit der PID `19499` (in Ihrem Fall ist es eine andere Nummer).
* Dann beginnt er zu lauschen: `Listening at: http://0.0.0.0:80`.
* Dann erkennt er, dass er die Workerklasse `uvicorn.workers.UvicornWorker` verwenden muss.

```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...`def`를 사용하는 대신:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

    ```Python hl_lines="1  3"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="1  3"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="3-4"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an.py!}
    ```

Pero como te alejas del mostrador y te sientas en la mesa con un número para tu turno, puedes cambiar tu atención 🔀 a esa persona 😍 y "trabajar" ⏯ 🤓 en eso. Entonces nuevamente estás haciendo algo muy "productivo" 🤓, como coquetear con esa persona 😍.

If you run **multiple processes per container** (for example with the official Docker image) you will have to make sure that the number of processes started doesn't **consume more memory** than what is available.

Se você executar **múltiplos processos por contêiner** (por exemplo, com a imagem oficial do Docker), deve garantir que o número de processos iniciados não **consuma mais memória** do que o disponível.

    build-all.

    Takes an optional LANG argument with the name of the language to serve, by default
    en.
    """
    # Enable line numbers during local development to make it easier to highlight
    os.environ["LINENUMS"] = "true"
    if lang is None:
        lang = "en"
    lang_path: Path = docs_path / lang
    os.chdir(lang_path)

`await` 👷, ⚫️ ✔️ 🔘 🔢 👈 🐕‍🦺 👉 🔀. 👈, 👆 📣 ⚫️ ⏮️ `async def`:

```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...↩️ `def`:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```