Wenn Sie also ein Objekt `something` haben (das möglicherweise _keine_ Funktion ist) und Sie es wie folgt aufrufen (ausführen) können:

```Python
something()
```

oder

```Python
something(some_argument, some_keyword_argument="foo")
```

dann ist das ein „Callable“ (ein „Aufrufbares“).

## Klassen als Abhängigkeiten

关键因素是依赖项应该是 "可调用对象"。

Python 中的 "**可调用对象**" 是指任何 Python 可以像函数一样 "调用" 的对象。

所以，如果你有一个对象 `something` (可能*不是*一个函数)，你可以 "调用" 它(执行它)，就像：

```Python
something()
```

或者

```Python
something(some_argument, some_keyword_argument="foo")
```

这就是 "可调用对象"。

## 类作为依赖项

您可能会注意到，要创建一个 Python 类的实例，您可以使用相同的语法。

举个例子:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name

        )
        withLibraryDependencies<DependencyRemovalByNameRule>("cglib:cglib", setOf("ant"))

        // asciidoctorj depends on a lot of stuff, which causes `Can't create process, argument list too long` on Windows
        withLibraryDependencies<DependencyRemovalByNameRule>("org.gradle:sample-discovery", setOf("asciidoctorj", "asciidoctorj-api"))

        withModule<DowngradeXmlApisRule>("jaxen:jaxen")

## MinIO configuration YAML

MinIO now supports starting the server arguments and configuration via a YAML configuration file. This YAML configuration describes everything that can be configured in a MinIO setup, such as '--address', '--console-address' and command line arguments for the MinIO server.

Так, если у вас есть объект `something` (который может _не_ быть функцией) и вы можете "вызвать" его (выполнить) как:

```Python
something()
```

или

```Python
something(some_argument, some_keyword_argument="foo")
```

в таком случае он является "вызываемым".

## Классы как зависимости

Вы можете заметить, что для создания экземпляра класса в Python используется тот же синтаксис.

Например:

"**🇧🇲**" 🐍 🕳 👈 🐍 💪 "🤙" 💖 🔢.

, 🚥 👆 ✔️ 🎚 `something` (👈 💪 _🚫_ 🔢) & 👆 💪 "🤙" ⚫️ (🛠️ ⚫️) 💖:

```Python
something()
```

⚖️

```Python
something(some_argument, some_keyword_argument="foo")
```

⤴️ ⚫️ "🇧🇲".

## 🎓 🔗

👆 5️⃣📆 👀 👈 ✍ 👐 🐍 🎓, 👆 ⚙️ 👈 🎏 ❕.

🖼:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name

If you are not familiar with the `UserInDB(**result.value)`, <a href="https://docs.python.org/3/glossary.html#term-argument" class="external-link" target="_blank">it is using `dict` "unpacking"</a>.

It will take the `dict` at `result.value`, and take each of its keys and values and pass them as key-values to `UserInDB` as keyword arguments.

So, if the `dict` contains:

```Python
{
    "username": "johndoe",

Maintenant, lancez le serveur en live pour les documents en espagnol :

<div class="termy">

```console
// Use the command "live" and pass the language code as a CLI argument
$ python ./scripts/docs.py live es

<span style="color: green;">[INFO]</span> Serving on http://127.0.0.1:8008
<span style="color: green;">[INFO]</span> Start watching changes

对于西班牙语来说，它的两位字母代码是 `es`。所以西班牙语翻译的目录位于 `docs/es/`。

!!! tip
    默认语言是英语，位于 `docs/en/`目录。

现在为西班牙语文档运行实时服务器：

<div class="termy">

```console
// Use the command "live" and pass the language code as a CLI argument
$ python ./scripts/docs.py live es

<span style="color: green;">[INFO]</span> Serving on http://127.0.0.1:8008
<span style="color: green;">[INFO]</span> Start watching changes

!!! tip
    Instead of passing each of the keyword arguments to `Item` and reading each one of them from the Pydantic *model*, we are generating a `dict` with the Pydantic *model*'s data with:

    `item.dict()`

    and then we are passing the `dict`'s key-value pairs as the keyword arguments to the SQLAlchemy `Item`, with:

    `Item(**item.dict())`