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
```

        {
            "detail": [
                {
                    "type": "float_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid number, unable to parse string as a number",
                    "input": "foobar",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

                            "type": "number",
                            "description": "The price must be greater than zero",
                        },
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )

                            "type": "number",
                            "description": "The price must be greater than zero",
                        },
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )

In the output, you can see that it shows the **PID** (process ID) of each process (it's just a number).

You can see that:

* The Gunicorn **process manager** starts with PID `19499` (in your case it will be a different number).
* Then it starts `Listening at: http://0.0.0.0:80`.
* Then it detects that it has to use the worker class at `uvicorn.workers.UvicornWorker`.

        sys.exit(0)
    github_headers = {
        "Authorization": f"token {settings.input_token.get_secret_value()}"
    }
    url = f"{github_api}/repos/{settings.github_repository}/issues/{use_pr.number}/comments"
    logging.info(f"Using comments URL: {url}")
    response = httpx.post(
        url,
        headers=github_headers,
        json={

lv: latviešu valoda
mg: fiteny malagasy
mh: Kajin M̧ajeļ
mi: te reo Māori
mk: македонски јазик
ml: മലയാളം
mn: Монгол хэл
mr: मराठी
ms: Bahasa Malaysia
mt: Malti
my: ဗမာစာ
na: Ekakairũ Naoero
nb: Norsk bokmål
nd: isiNdebele
ne: नेपाली
ng: Owambo
nl: Nederlands
nn: Norsk nynorsk
'no': Norsk
nr: isiNdebele
nv: Diné bizaad
ny: chiCheŵa
oc: occitan
oj: ᐊᓂᔑᓈᐯᒧᐎᓐ