Then you go to the counter 🔀, to the initial task that is now finished ⏯, pick the burgers, say thanks and take them to the table. That finishes that step / task of interaction with the counter ⏹. That in turn, creates a new task, of "eating burgers" 🔀 ⏯, but the previous one of "getting burgers" is finished ⏹.

### Parallel Burgers

Now let's imagine these aren't "Concurrent Burgers", but "Parallel Burgers".

        cls = type(field_info)
        merged_field_info = cls.from_annotation(annotation)
        new_field_info = copy(field_info)
        new_field_info.metadata = merged_field_info.metadata
        new_field_info.annotation = merged_field_info.annotation
        return new_field_info

    def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:
        origin_type = (

And you would also use Alembic for "migrations" (that's its main job).

A "migration" is the set of steps needed whenever you change the structure of your SQLAlchemy models, add a new attribute, etc. to replicate those changes in the database, add a new column, a new table, etc.

* The alternative documentation will also reflect the new query parameter and body:

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Recap

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

You don't have to learn a new syntax, the methods or classes of a specific library, etc.

假设你想要添加克里奥尔语翻译，而且文档中还没有该语言的翻译。

点击上面提到的“ISO 639-1 代码列表”链接，可以查到“克里奥尔语”的代码为 `ht`。

下一步是运行脚本以生成新的翻译目录：

<div class="termy">

```console
// Use the command new-lang, pass the language code as a CLI argument
$ python ./scripts/docs.py new-lang ht

Successfully initialized: docs/ht
```

</div>

现在，你可以在编辑器中查看新创建的目录 `docs/ht/`。

这条命令会生成一个从 `en` 版本继承了所有属性的配置文件 `docs/ht/mkdocs.yml`:

```yaml

  - author: Teresa N. Fontanella De Santis
    author_link: https://dev.to/
    link: https://dev.to/teresafds/authorization-on-fastapi-with-casbin-41og
    title: Authorization on FastAPI with Casbin
  - author: New Relic
    author_link: https://newrelic.com
    link: https://newrelic.com/instant-observability/fastapi/e559ec64-f765-4470-a15f-1901fcebb468
    title: How to monitor FastAPI application performance using Python agent

<abbr title="multiprocessing">многопроцессорности</abbr> (когда несколько процессов работают параллельно),
если рабочая нагрузка предполагает **ограничение по процессору**,
как, например, в системах машинного обучения. <!--http://new.gramota.ru/spravka/punctum?layout=item&id=58_329-->

Необходимо также отметить, что Python является главным языком в области
<abbr title="наука о данных (data science)">**дата-сайенс**</abbr>,

!!! tip
    The `shutdown` would happen when you are **stopping** the application.

    Maybe you need to start a new version, or you just got tired of running it. 🤷

### Lifespan function

The first thing to notice, is that we are defining an async function with `yield`. This is very similar to Dependencies with `yield`.

Assim podendo tentar ajudar a resolver essas questões.

## Faça perguntas

É possível <a href="https://github.com/tiangolo/fastapi/issues/new/choose" class="external-link" target="_blank">criar uma nova pergunta</a> no repositório do GitHub, por exemplo:

* Faça uma **pergunta** ou pergunte sobre um **problema**.
* Sugira novos **recursos**.

  "Releases only" 대신 "Watching"을 선택하면 다른 사용자가 새로운 issue를 생성할 때 알림이 수신됩니다.

  그런 다음 이런 issues를 해결 할 수 있도록 도움을 줄 수 있습니다.

  ## 이슈 생성하기

  GitHub 저장소에 [새로운 이슈 생성](https://github.com/tiangolo/fastapi/issues/new/choose) 을 할 수 있습니다, 예를들면 다음과 같습니다:

  - **질문**을 하거나 **문제**에 대해 질문합니다.
  - 새로운 **기능**을 제안 합니다.

  **참고**: 만약 이슈를 생성한다면, 저는 여러분에게 다른 사람들을 도와달라고 부탁할 것입니다. 😉

  ## Pull Request를 만드십시오