```Python
from datetime import date

from pydantic import BaseModel

# 将变量声明为 str
# 并在函数内获得编辑器支持
def main(user_id: str):
    return user_id


# 一个 Pydantic 模型
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像这样来使用：

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

second_user_data = {
    "id": 4,
    "name": "Mary",

    public void filtered(FilteredCall<UserCQ, UserCQ> filteredLambda) {
        filtered(filteredLambda, null);
    }

    public void filtered(FilteredCall<UserCQ, UserCQ> filteredLambda, ConditionOptionCall<BoolQueryBuilder> opLambda) {
        bool((must, should, mustNot, filter) -> {
            filteredLambda.callback(must, filter);
        }, opLambda);
    }

    public void not(OperatorCall<UserCQ> notLambda) {

from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string
# 並在函式中獲得 editor support
def main(user_id: str):
    return user_id


# 宣告一個 Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像這樣來使用：

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

second_user_data = {
    "id": 4,
    "name": "Mary",

Par exemple, supposons que vous ayez 4 endpoints d’API (chemins d’accès) :

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

alors vous pourriez ajouter différentes exigences d’autorisations pour chacun d’eux uniquement avec des dépendances et des sous-dépendances :

```mermaid
graph TB

    }

    // --- Prompt building methods ---

    /**
     * Wraps user input with delimiters, escaping any closing tags in the content.
     *
     * @param userMessage the user's message to wrap
     * @return the wrapped user input
     */
    protected String wrapUserInput(final String userMessage) {

* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

그 다음 각각에 대해 그저 의존성과 하위 의존성을 사용하여 다른 권한 요구 사항을 추가할 수 있을 겁니다:

```mermaid
graph TB

current_user(["current_user"])
active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]
activate_user["/users/{user_id}/activate"]
pro_items["/items/pro/"]

    }

    /** Logger for this class */
    private static final Logger logger = LogManager.getLogger(QueryHelper.class);

    /** Constant used to indicate that query-based preference should be used for search routing */
    protected static final String PREFERENCE_QUERY = "_query";

    /** Prefix used to identify sort parameters in search queries */
    protected String sortPrefix = "sort:";

     *
     * This method checks if there are saved search parameters from a previous
     * session and redirects the user to the search page with those parameters
     * restored. This provides a seamless user experience after authentication.
     *
     * @return Optional HtmlResponse containing the redirect to search page with parameters,

まず、エディタ、mypy、その他のツールがこれをどう見るかを見てみます。

`BaseUser` には基本フィールドがあります。次に `UserIn` が `BaseUser` を継承して `password` フィールドを追加するため、両方のモデルのフィールドがすべて含まれます。

関数の戻り値の型を `BaseUser` としてアノテーションしますが、実際には `UserIn` インスタンスを返しています。

エディタやmypyなどのツールはこれに文句を言いません。typingの観点では、`UserIn` は `BaseUser` のサブクラスであり、期待されるものが `BaseUser` であれば `UserIn` は*有効*な型だからです。

### FastAPIのデータフィルタリング { #fastapi-data-filtering }

    /**
     * This specialized method returns a Map of users and local groups for the
     * target server where keys are SIDs representing an account and each value
     * is an ArrayList of SIDs represents the local groups that the account is
     * a member of.
     *
     * This method is designed to assist with computing access control for a
     * given user when the target object's ACL has local groups. Local groups