By default, those files are served from a <abbr title="Content Delivery Network: A service, normally composed of several servers, that provides static files, like JavaScript and CSS. It's commonly used to serve those files from the server closer to the client, improving performance.">CDN</abbr>.

But it's possible to customize it, you can set a specific CDN, or serve the files yourself.

```Python hl_lines="9 14"
{!../../../docs_src/dependencies/tutorial006.py!}
```

## *path operations*のグループに対する依存関係

    {!> ../../../docs_src/dependencies/tutorial006.py!}
    ```

## Dependencies для группы *операций путей*

Позже, читая о том как структурировать большие приложения ([Bigger Applications - Multiple Files](../../tutorial/bigger-applications.md){.internal-link target=_blank}), возможно, многофайловые, вы узнаете как объявить единый параметр `dependencies` для всей группы *операций путей*.

## Глобальный Dependencies

## About versions

Following the Semantic Versioning conventions, any version below `1.0.0` could potentially add breaking changes.

FastAPI also follows the convention that any "PATCH" version change is for bug fixes and non-breaking changes.

!!! tip
    The "PATCH" is the last number, for example, in `0.2.3`, the PATCH version is `3`.

So, you should be able to pin to a version like:

```txt
fastapi>=0.45.0,<0.46.0
```

<font color="#3465A4">INFO    </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files
<font color="#3465A4">INFO    </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>

 ╭─ <font color="#8AE234"><b>Python module file</b></font> ─╮
 │                      │
 │  🐍 main.py          │
 │                      │

* **WebSocket** support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.
* **CORS**, GZip, Static Files, Streaming responses.
* **Session and Cookie** support.
* 100% test coverage.
* 100% type annotated codebase.

## Pydantic features

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## ➡ 🔢 ⚗ ➡

➡️ 💬 👆 ✔️ *➡ 🛠️* ⏮️ ➡ `/files/{file_path}`.

✋️ 👆 💪 `file_path` ⚫️ 🔌 *➡*, 💖 `home/johndoe/myfile.txt`.

, 📛 👈 📁 🔜 🕳 💖: `/files/home/johndoe/myfile.txt`.

### 🗄 🐕‍🦺

🗄 🚫 🐕‍🦺 🌌 📣 *➡ 🔢* 🔌 *➡* 🔘, 👈 💪 ↘️ 😐 👈 ⚠ 💯 & 🔬.

    Here's where we will generate the file `requirements.txt`

3. Install Poetry in this Docker stage.

4. Copy the `pyproject.toml` and `poetry.lock` files to the `/tmp` directory.

    Because it uses `./poetry.lock*` (ending with a `*`), it won't crash if that file is not available yet.

5. Generate the `requirements.txt` file.

<a href="https://github.com/scalar/scalar/?utm_source=fastapi&utm_medium=website&utm_campaign=main-badge" target="_blank" title="Scalar: Beautiful Open-Source API References from Swagger/OpenAPI files"><img src="https://fastapi.tiangolo.com/img/sponsors/scalar.svg"></a>

* Suporte a **WebSocket**.
* Suporte a **GraphQL**.
* Tarefas em processo _background_.
* Eventos na inicialização e encerramento.
* Cliente de testes construído sobre HTTPX.
* Respostas em **CORS**, GZip, Static Files, Streaming.
* Suporte a **Session e Cookie**.
* 100% de cobertura de testes.
* 100% do código utilizando _type annotations_.

## Recursos do Pydantic