<component name="dictionaryManager" class="org.codelibs.fess.dict.DictionaryManager">
	</component>

	<component name="kuromojiDictCreator"
		class="org.codelibs.fess.dict.kuromoji.KuromojiCreator">
	</component>
	<component name="synonymCreator"
		class="org.codelibs.fess.dict.synonym.SynonymCreator">
	</component>
	<component name="stemmerOverrideCreator"
		class="org.codelibs.fess.dict.stemmeroverride.StemmerOverrideCreator">
	</component>

import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.admin.dict.protwords.UploadForm;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.admin.FessApiAdminAction;
import org.codelibs.fess.dict.protwords.ProtwordsFile;
import org.codelibs.fess.dict.protwords.ProtwordsItem;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.JsonResponse;

import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.admin.dict.kuromoji.UploadForm;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.admin.FessApiAdminAction;
import org.codelibs.fess.dict.kuromoji.KuromojiFile;
import org.codelibs.fess.dict.kuromoji.KuromojiItem;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.JsonResponse;

🖼 🔛 👥 🤚 `user_dict` ⚪️➡️ `user_in.dict()`, 👉 📟:

```Python
user_dict = user_in.dict()
UserInDB(**user_dict)
```

🔜 🌓:

```Python
UserInDB(**user_in.dict())
```

...↩️ `user_in.dict()` `dict`, & ⤴️ 👥 ⚒ 🐍 "🎁" ⚫️ 🚶‍♀️ ⚫️ `UserInDB` 🔠 ⏮️ `**`.

, 👥 🤚 Pydantic 🏷 ⚪️➡️ 💽 ➕1️⃣ Pydantic 🏷.

#### 🎁 `dict` & ➕ 🇨🇻

#### 用其它模型中的内容生成 Pydantic 模型

上例中 ，从 `user_in.dict()` 中得到了 `user_dict`，下面的代码：

```Python
user_dict = user_in.dict()
UserInDB(**user_dict)
```

等效于：

```Python
UserInDB(**user_in.dict())
```

……因为 `user_in.dict()` 是字典，在传递给 `UserInDB` 时，把 `**` 加在  `user_in.dict()` 前，可以让 Python 进行**解包**。

这样，就可以用其它 Pydantic 模型中的数据生成 Pydantic 模型。

#### 解包 `dict` 和更多关键字

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python

    @asynccontextmanager
    async def lifespan(app: FastAPI) -> AsyncGenerator[Dict[str, bool], None]:
        state.app_startup = True
        yield {"app": True}
        state.app_shutdown = True

    @asynccontextmanager
    async def router_lifespan(app: FastAPI) -> AsyncGenerator[Dict[str, bool], None]:
        state.router_startup = True
        yield {"router": True}

 */
package org.codelibs.fess.app.web.api.admin.dict;

import java.util.stream.Collectors;
import java.util.stream.Stream;

import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.admin.FessApiAdminAction;
import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.dict.DictionaryItem;
import org.codelibs.fess.dict.DictionaryManager;
import org.lastaflute.web.Execute;

import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.admin.dict.stopwords.UploadForm;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.admin.FessApiAdminAction;
import org.codelibs.fess.dict.stopwords.StopwordsFile;
import org.codelibs.fess.dict.stopwords.StopwordsItem;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.JsonResponse;

Pydantic-Modelle haben eine `.dict()`-Methode, die ein `dict` mit den Daten des Modells zurückgibt.

Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

und wir rufen seine `.dict()`-Methode auf:

```Python
user_dict = user_in.dict()
```