Using the below example document:
<img width="85%" src="https://bradley.codes/static/img/jstream-levels.gif" alt="jstream"/>

we can choose to extract and act only the objects within the top-level array:
```go
f, _ := os.Open("input.json")
decoder := jstream.NewDecoder(f, 1) // extract JSON values at a depth level of 1
for mv := range decoder.Stream() {
  fmt.Printf("%v\n ", mv.Value)
}
```

output:
```

В тот же момент вы пытаетесь запустить автодополнение с помощью `Ctrl+Space` и вы видите:

<img src="/img/python-types/image02.png">

При этом вы можете просматривать варианты, пока не найдёте подходящий:

<img src="/img/python-types/image03.png">

## Больше мотивации

Проверьте эту функцию, она уже имеет аннотации типов:

```Python hl_lines="1"

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<img src="/img/tutorial/debugging/image01.png">

---

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    <img src="https://img.shields.io/codecov/c/github/fastapi/fastapi?color=%2334D058" alt="Coverage">
</a>
<a href="https://pypi.org/project/fastapi" target="_blank">
    <img src="https://img.shields.io/pypi/v/fastapi?color=%2334D058&label=pypi%20package" alt="Package version">
</a>
</p>

---

<img src="/img/async/concurrent-burgers/concurrent-burgers-01.png" class="illustration">

Dann sind Sie an der Reihe und Sie bestellen zwei sehr schmackhafte Burger für Ihren Schwarm und Sie. 🍔🍔

<img src="/img/async/concurrent-burgers/concurrent-burgers-02.png" class="illustration">

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    <img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/fastapi.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/fastapi" target="_blank">

Without changing the settings, syntax highlighting is enabled by default:

<img src="/img/tutorial/extending-openapi/image02.png">

But you can disable it by setting `syntaxHighlight` to `False`:

{* ../../docs_src/configure_swagger_ui/tutorial001.py hl[3] *}

...and then Swagger UI won't show the syntax highlighting anymore:

<img src="/img/tutorial/extending-openapi/image03.png">

## Change the Theme

* Executar o depurador com a opção "`Python: Current File (Integrated Terminal)`".

Em seguida, ele iniciará o servidor com seu código **FastAPI**, parará em seus pontos de interrupção, etc.

Veja como pode parecer:

<img src="/img/tutorial/debugging/image01.png">

---

Se você usar o Pycharm, você pode:

* Abrir o menu "Executar".
* Selecionar a opção "Depurar...".
* Então um menu de contexto aparece.

<img src="/img/tutorial/body/image01.png">

이를 필요로 하는 각각의 *경로 작동*내부의 API 문서에도 사용됩니다:

<img src="/img/tutorial/body/image02.png">

## 편집기 지원

편집기에서, 함수 내에서 타입 힌트와 완성을 어디서나 (만약 Pydantic model 대신에 `dict`을 받을 경우 나타나지 않을 수 있습니다) 받을 수 있습니다:

<img src="/img/tutorial/body/image03.png">

잘못된 타입 연산에 대한 에러 확인도 받을 수 있습니다:

<img src="/img/tutorial/body/image04.png">