```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;

Und wenn wir aufrufen:

```Python
print(user_dict)
```

würden wir ein Python-`dict` erhalten mit:

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

#### Ein `dict` entpacken { #unpacking-a-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`.

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

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;

/**

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

#### 解包 `dict` { #unpacking-a-dict }

若將像 `user_dict` 這樣的 `dict` 以 `**user_dict` 傳給函式（或類別），Python 會將其「解包」，把 `user_dict` 的鍵和值直接當作具名引數傳入。

因此，延續上面的 `user_dict`，寫成：

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

效果等同於：

```Python
UserInDB(
    username="john",

inner_strict = APIRouter(prefix="/strict", strict_content_type=True)
inner_default = APIRouter(prefix="/default")


@inner_strict.post("/items/")
async def inner_strict_post(data: dict):
    return data


@inner_default.post("/items/")
async def inner_default_post(data: dict):
    return data


outer_router.include_router(inner_strict)
outer_router.include_router(inner_default)
app_nested.include_router(outer_router)