{
			"name":    "cat",
			"user_id": gorm.Expr("(?)", DB.Table("(?) as tmp", subQuery).Select("@uid:=id")),
		},
		{
			"name":    "dog",
			"user_id": gorm.Expr("@uid"),
		},
	})

        assertNull(StringUtil.camelize(null));
        assertEquals("Emp", StringUtil.camelize("EMP"));
        assertEquals("AaaBbb", StringUtil.camelize("AAA_BBB"));
        assertEquals("UserId", StringUtil.camelize("USER_ID"));
    }

    /**
     * @throws Exception
     */
    @Test
    public void testDecamelize() throws Exception {
        assertNull(StringUtil.decamelize(null));

Por ejemplo, digamos que tienes 4 endpoints de API (*path operations*):

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

entonces podrías agregar diferentes requisitos de permiso para cada uno de ellos solo con dependencias y sub-dependencias:

```mermaid
graph TB

current_user(["current_user"])

```Python
from datetime import date

from pydantic import BaseModel

# Déclare une variable comme étant une str
# et profitez de l'aide de votre IDE dans cette fonction
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

For example, let's say you have 4 API endpoints (*path operations*):

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

then you could add different permission requirements for each of them just with dependencies and sub-dependencies:

```mermaid
graph TB

current_user(["current_user"])

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
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

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

⤴️ 👆 💪 🚮 🎏 ✔ 📄 🔠 👫 ⏮️ 🔗 & 🎧-🔗:

```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/"]

		if err := DB.Session(&gorm.Session{FullSaveAssociations: true}).Updates(&cusUser).Error; err != nil {
			t.Fatalf("errors happened when create: %v", err)
		}

		var account2 CustomizeAccount
		DB.Find(&account2, "user_id = ?", cusUser.ID)
		AssertEqual(t, account2.Number, number)
		AssertEqual(t, account2.Number2, cusUser.Account.Number2)
	})

Escribes Python estándar con tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declara una variable como un str
# y obtiene soporte del editor dentro de la función
def main(user_id: str):
    return user_id


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

Que luego puede ser usado como:

```Python

👆 ✍ 🐩 🐍 ⏮️ 🆎:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


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

👈 💪 ⤴️ ⚙️ 💖:

```Python