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"])

* `/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/"]

```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

        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));

```Python
from datetime import date

from pydantic import BaseModel

# Declaras la variable como un str
# y obtienes 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
```

Este puede ser usado como:

```Python

	}

	dryDB := DB.Session(&gorm.Session{DryRun: true})
	r := dryDB.Distinct("u.id, u.*").Table("user_speaks as s").Joins("inner join users as u on u.id = s.user_id").Where("s.language_code ='US' or s.language_code ='ES'").Find(&User{})
	if !regexp.MustCompile(`SELECT DISTINCT u\.id, u\.\* FROM user_speaks as s inner join users as u`).MatchString(r.Statement.SQL.String()) {

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

そして、依存関係とサブ依存関係だけで、それぞれに異なるパーミッション要件を追加することができます:

```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/"]

from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein `str`
# und bekommen Sie Editor-Unterstütung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python

You write standard Python with types:

```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
```

That can then be used like:

```Python

```Python
from datetime import date

from pydantic import BaseModel

# Zadeklaruj parametr jako str
# i uzyskaj wsparcie edytora wewnątrz funkcji
def main(user_id: str):
    return user_id


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

A one będą mogły zostać później użyte w następujący sposób:

```Python