Ve eğer şunu çağırırsak:

```Python
print(user_dict)
```

şöyle bir Python `dict` elde ederiz:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Bir `dict`'i Unpack Etmek { #unpacking-a-dict }

输出的就是 Python `dict`：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### 解包 `dict` { #unpacking-a-dict }

把 `dict`（如 `user_dict`）以 `**user_dict` 形式传递给函数（或类），Python 会执行“解包”。它会把 `user_dict` 的键和值作为关键字参数直接传递。

因此，接着上面的 `user_dict` 继续编写如下代码：

```Python
UserInDB(**user_dict)
```

就会生成如下结果：

```Python
UserInDB(

```Python
print(user_dict)
```

мы получим Python `dict` с:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Распаковка `dict` { #unpacking-a-dict }

```Python
print(user_dict)
```

teríamos um `dict` Python com:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Desembrulhando um `dict` { #unpacking-a-dict }

			<integer>10</integer>
		</dict>
		<key>ResourceRules.plist</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<integer>100</integer>
		</dict>
	</dict>
</dict>
</plist>

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.web.admin.dict;

import org.codelibs.fess.annotation.Secured;
import org.codelibs.fess.app.web.base.FessAdminAction;
import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.dict.DictionaryItem;
import org.codelibs.fess.dict.DictionaryManager;
import org.codelibs.fess.util.RenderDataUtil;
import org.lastaflute.web.Execute;

Auf die gleiche Weise können Sie Responses von Listen von Objekten deklarieren.

Dafür verwenden Sie Pythons Standard-`list`:

{* ../../docs_src/extra_models/tutorial004_py310.py hl[18] *}

## Response mit beliebigem `dict` { #response-with-arbitrary-dict }

    for item_def in cast(dict[str, dict[str, Any]], definitions).values():
        if "description" in item_def:
            item_description = cast(str, item_def["description"]).split("\f")[0]
            item_def["description"] = item_description
    # definitions: dict[DefsRef, dict[str, Any]]
    # but mypy complains about general str in other places that are not declared as

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict.mapping;

import java.util.Date;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.dict.DictionaryCreator;
import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.dict.DictionaryItem;

import jakarta.annotation.PostConstruct;

/**

Так само ця база даних не прийматиме модель Pydantic (об'єкт з атрибутами), а лише `dict`.

Ви можете використовувати `jsonable_encoder` для цього.

Вона приймає об'єкт, такий як модель Pydantic, і повертає його версію, сумісну з JSON:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

У цьому прикладі вона конвертує модель Pydantic у `dict`, а `datetime` у `str`.