* Check that the tests **fail** before the PR. 🚨

* Then check that the tests **pass** after the PR. ✅

* Many PRs don't have tests, you can **remind** them to add tests, or you can even **suggest** some tests yourself. That's one of the things that consume most time and you can help a lot with that.

* Then also comment what you tried, that way I'll know that you checked it. 🤓

## Create a Pull Request

Nutzen Sie den Chat nur für andere allgemeine Gespräche.

///

### Den Chat nicht für Fragen verwenden

turn e.prototype.toggle=function(){n.default(this._element).parents(".direct-chat").first().toggleClass("direct-chat-contacts-open"),n.default(this._element).trigger(n.default.Event("toggled.lte.directchat"))},e._jQueryInterface=function(t){return this.each((function(){var a=n.default(this).data(O);a||(a=new e(n.default(this)),n.default(this).data(O,a)),a[t]()}))},e}();n.default(document).on("click",'[data-widget="chat-pane-toggle"]',(function(e){e&&e.preventDefault(),P._jQueryInterface.call(n.d...

    public static final String SLACK_WEBHOOK_URLS_PROPERTY = "slack.webhook.urls";

    public static final String GOOGLE_CHAT_WEBHOOK_URLS_PROPERTY = "google.chat.webhook.urls";

    public static final String USE_BROWSER_LOCALE_FOR_SEARCH_PROPERTY = "search.use.browser.locale";

    public static final String SUGGEST_SEARCH_LOG_PROPERTY = "suggest.searchlog";

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* **Nhanh**: Hiệu năng rất cao khi so sánh với **NodeJS** và **Go** (cảm ơn Starlette và Pydantic). [Một trong những Python framework nhanh nhất](#hieu-nang).
* **Code nhanh**: Tăng tốc độ phát triển tính năng từ 200% tới 300%. *
* **Ít lỗi hơn**: Giảm khoảng 40% những lỗi phát sinh bởi con người (nhà phát triển). *

The `@app.get("/")` tells **FastAPI** that the function right below is in charge of handling requests that go to:

* the path `/`
* using a <abbr title="an HTTP GET method"><code>get</code> operation</abbr>

/// info | "`@decorator` Info"

That `@something` syntax in Python is called a "decorator".

You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).

This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep.

Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.

/// check | "Inspired **FastAPI** to"

```

////

The last `CommonQueryParams`, in:

```Python
... Depends(CommonQueryParams)
```

...is what **FastAPI** will actually use to know what is the dependency.

It is from this one that FastAPI will extract the declared parameters and that is what FastAPI will actually call.

---

In this case, the first `CommonQueryParams`, in:

//// tab | Python 3.8+

```Python

### FastAPI Data Filtering

Now, for FastAPI, it will see the return type and make sure that what you return includes **only** the fields that are declared in the type.