pass


class OtherDependencyError(Exception):
    pass


async def asyncgen_state(state: dict[str, str] = Depends(get_state)):
    state["/async"] = "asyncgen started"
    yield state["/async"]
    state["/async"] = "asyncgen completed"


def generator_state(state: dict[str, str] = Depends(get_state)):
    state["/sync"] = "generator started"
    yield state["/sync"]

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

You can also declare a response using a plain arbitrary `dict`, declaring just the type of the keys and values, without using a Pydantic model.

This is useful if you don't know the valid field/attribute names (that would be needed for a Pydantic model) beforehand.

In this case, you can use `typing.Dict` (or just `dict` in Python 3.9 and above):

```

#### 別のモデルからつくるPydanticモデル

上述の例では`user_in.dict()`から`user_dict`をこのコードのように取得していますが:

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

これは以下と同等です:

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

...なぜなら`user_in.dict()`は`dict`であり、`**`を付与して`UserInDB`を渡してPythonに「展開」させているからです。

そこで、別のPydanticモデルのデータからPydanticモデルを取得します。

#### `dict`の展開と追加引数

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 }

    @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}

                "although still supported. Use examples instead."
            ),
        ] = _Unset,
        openapi_examples: Optional[dict[str, Example]] = None,
        deprecated: Union[deprecated, str, bool, None] = None,
        include_in_schema: bool = True,
        json_schema_extra: Union[dict[str, Any], None] = None,
        **extra: Any,
    ):
        if example is not _Unset:
            warnings.warn(

#### 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

        }

    def get_user_me(
        current_user: Annotated[dict, Security(get_current_user, scopes=["me"])],
    ):
        call_counts["get_user_me"] += 1
        return {
            "user_me": f"user_me_{call_counts['get_user_me']}",
            "current_user": current_user,
        }

    def get_user_items(
        user_me: Annotated[dict, Depends(get_user_me)],
    ):
        call_counts["get_user_items"] += 1

Hierbei können Sie **Typannotationen** genauso verwenden, wie Sie es bei Werten von Funktions-**Parametern** machen; verwenden Sie Pydantic-Modelle, Listen, Dicts und skalare Werte wie Nummern, Booleans, usw.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

FastAPI wird diesen Rückgabetyp verwenden, um:

* Die zurückzugebenden Daten zu **validieren**.

 */
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;