final Map<String, Object> params = new HashMap<>();
        final Map<String, String> nestedMap = new HashMap<>();
        nestedMap.put("name", "John");
        nestedMap.put("role", "Developer");
        params.put("user", nestedMap);

        assertEquals("John", groovyEngine.evaluate("return user.name", params));
        assertEquals("Developer", groovyEngine.evaluate("return user.role", params));
    }

    /**

もしあなたが Python の専門家で、すでに型ヒントについてすべて知っているのであれば、次の章まで読み飛ばしてください。

///

## 動機 { #motivation }

簡単な例から始めてみましょう:

{* ../../docs_src/python_types/tutorial001_py310.py *}

このプログラムを呼び出すと、以下が出力されます:

```
John Doe
```

この関数は以下のようなことを行います:

* `first_name` と `last_name` を取得します。
* `title()` を用いて、それぞれの最初の文字を大文字に変換します。
* 真ん中にスペースを入れて<dfn title="1つにまとめます。片方の内容をもう片方の後ろに続けます。">連結</dfn>します。

    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que luego puede ser usado como:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | Información

# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | Info

Appelez le point de terminaison `/users/me/`, vous obtiendrez la réponse suivante :

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

<img src="/img/tutorial/security/image09.png">

// Bean metadata introspection
BeanDesc beanDesc = BeanDescFactory.getBeanDesc(MyBean.class);
PropertyDesc nameProperty = beanDesc.getPropertyDesc("name");
nameProperty.setValue(bean, "John Doe");

// Bean copying with flexible options
BeanUtil.copyBeanToBean(source, destination);
BeanUtil.copyBeanToBean(source, destination, options -> 
    options.exclude("password", "internalId"));

### 获取当前用户数据 { #get-your-own-user-data }

使用 `/users/me` 路径的 `GET` 操作。

可以提取如下当前用户数据：

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

点击小锁图标，注销后，再执行同样的操作，则会得到 HTTP 401 错误：

```JSON
{

    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

That can then be used like:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que então pode ser usado como:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | Informação

///

<img src="/img/tutorial/security/image08.png">

Вызвав эндпоинт `/users/me/`, вы получите ответ в виде:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

<img src="/img/tutorial/security/image09.png">