struct utmp
   {
-    char ut_line[UT_LINESIZE];
-    char ut_user[UT_NAMESIZE];
+    char ut_line[UT_LINESIZE]
+      __attribute_nonstring__;	/* Devicename.  */
+    char ut_user[UT_NAMESIZE]
+      __attribute_nonstring__;	/* Username.  */
 #define ut_name ut_user
-    char ut_host[UT_HOSTSIZE];
+    char ut_host[UT_HOSTSIZE]

```Python hl_lines="2  15  26"
{!../../docs_src/sql_databases/sql_app/models.py!}
```

🕐❔ 🔐 🔢 `items` `User`, `my_user.items`, ⚫️ 🔜 ✔️ 📇 `Item` 🇸🇲 🏷 (⚪️➡️ `items` 🏓) 👈 ✔️ 💱 🔑 ☝ 👉 ⏺ `users` 🏓.

🕐❔ 👆 🔐 `my_user.items`, 🇸🇲 🔜 🤙 🚶 & ☕ 🏬 ⚪️➡️ 💽 `items` 🏓 & 🔗 👫 📥.

            BaseUser ftpUser = new BaseUser();
            ftpUser.setName(username);
            ftpUser.setPassword(password);
            final File file = ResourceUtil.getResourceAsFile("test");
            String path = file.getAbsolutePath();
            ftpUser.setHomeDirectory(path);

            userManager.save(ftpUser);
        }

        FtpServer server = factory.createServer();

这将或多或少会成为一种“神奇”属性，其中表示该表与其他相关的表中的值。

```Python hl_lines="2  15  26"
{!../../docs_src/sql_databases/sql_app/models.py!}
```

当访问 user 中的属性`items`时，如 中`my_user.items`，它将有一个`Item`SQLAlchemy 模型列表（来自`items`表），这些模型具有指向`users`表中此记录的外键。

当您访问`my_user.items`时，SQLAlchemy 实际上会从`items`表中的获取一批记录并在此处填充进去。

同样，当访问 Item中的属性`owner`时，它将包含表中的`User`SQLAlchemy 模型`users`。使用`owner_id`属性/列及其外键来了解要从`users`表中获取哪条记录。

## 创建 Pydantic 模型

            }
        };
    }

    public void test_login() {
        activityHelper.useEcsFormat = false;
        activityHelper.login(OptionalThing.empty());
        assertEquals("action:LOGIN\tuser:-\tpermissions:-", localLogMsg.get());

        activityHelper.login(createUser("testuser", new String[0]));
        assertEquals("action:LOGIN\tuser:testuser\tpermissions:-", localLogMsg.get());

	var basePrefix string
	switch userType {
	case svcUser:
		basePrefix = iamConfigServiceAccountsPrefix
	case stsUser:
		basePrefix = iamConfigSTSPrefix
	default:
		basePrefix = iamConfigUsersPrefix
	}

	ctx, cancel := context.WithCancel(ctx)
	defer cancel()

func (ies *IAMEtcdStore) loadUsers(ctx context.Context, userType IAMUserType, m map[string]UserIdentity) error {
	var basePrefix string
	switch userType {
	case svcUser:
		basePrefix = iamConfigServiceAccountsPrefix
	case stsUser:
		basePrefix = iamConfigSTSPrefix
	default:
		basePrefix = iamConfigUsersPrefix
	}

	cctx, cancel := context.WithTimeout(ctx, defaultContextTimeout)
	defer cancel()

app = FastAPI()


user_router = APIRouter()
item_router = APIRouter()


@user_router.get("/")
def get_users():
    return [{"user_id": "u1"}, {"user_id": "u2"}]


@user_router.get("/{user_id}")
def get_user(user_id: str):
    return {"user_id": user_id}


@item_router.get("/")
def get_items(user_id: Optional[str] = None):
    if user_id is None:

def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

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

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

def main(user_id: str):
    return user_id


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

که سپس میتوان به این شکل از آن استفاده کرد:

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

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```