DB.Create(&user)

	var user1 User
	DB.Model(&User{}).Joins("NamedPet").Joins("Account").First(&user1, user.ID)
	if user1.NamedPet == nil || user1.Account.ID == 0 {
		t.Fatalf("joins NamedPet and Account should not empty:%v", user1)
	}

	// Account should empty
	DB.Delete(&user1.Account)

	var user2 User

		t.Fatalf("Should find saved record, but got %v", err)
	}

	user1 := *GetUser("transaction1-1", Config{})

	if err := tx.Save(&user1).Error; err != nil {
		t.Fatalf("No error should raise, but got %v", err)
	}

	if err := tx.First(&User{}, "name = ?", user1.Name).Error; err != nil {
		t.Fatalf("Should find saved record, but got %v", err)
	}

		t.Fatalf("unable initialize config file, %s", err)
	}

	initAllSubsystems(ctx)

	initConfigSubsystem(ctx, objLayer)

	creds, err := auth.CreateCredentials("myuser", "mypassword")
	if err != nil {
		t.Fatalf("unable create credential, %s", err)
	}

	globalActiveCred = creds

	globalIAMSys.Init(ctx, objLayer, globalEtcdClient, 2*time.Second)

)

type PersonAddressInfo struct {
	Person  *Person  `gorm:"embedded"`
	Address *Address `gorm:"embedded"`
}

func TestScan(t *testing.T) {
	user1 := User{Name: "ScanUser1", Age: 1}
	user2 := User{Name: "ScanUser2", Age: 10}
	user3 := User{Name: "ScanUser3", Age: 20}
	DB.Save(&user1).Save(&user2).Save(&user3)

	type result struct {
		ID   uint
		Name string
		Age  int
	}

	var res result

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


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

Это можно использовать так:

```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)
```

```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` 🏓 & 🔗 👫 📥.

def main(user_id: str):
    return user_id


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

👈 💪 ⤴️ ⚙️ 💖:

```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


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Este puede ser usado como:

```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)
```