)

func TestDistinct(t *testing.T) {
	users := []User{
		*GetUser("distinct", Config{}),
		*GetUser("distinct", Config{}),
		*GetUser("distinct", Config{}),
		*GetUser("distinct-2", Config{}),
		*GetUser("distinct-3", Config{}),
	}
	users[0].Age = 20

	if err := DB.Create(&users).Error; err != nil {
		t.Fatalf("errors happened when create users: %v", err)
	}

	var names []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/"]

### Em produção

Em seu sistema de produção, você provavelmente tem um frontend criado com um framework moderno como React, Vue.js ou Angular.

E para comunicar usando WebSockets com seu backend, você provavelmente usaria as utilidades do seu frontend.

Ou você pode ter um aplicativo móvel nativo que se comunica diretamente com seu backend WebSocket, em código nativo.

Ou você pode ter qualquer outra forma de comunicar com o endpoint WebSocket.

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

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

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

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

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

second_user_data = {
    "id": 4,

# Değişkeni str olarak belirt
# ve o fonksiyon için harika bir editör desteği al
def main(user_id: str):
    return user_id


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

Sonrasında bu şekilde kullanabilirsin

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

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

Например, у вас есть 4 API-эндпоинта (*операции пути*):

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

Тогда вы можете требовать разные права для каждого из них, используя зависимости и подзависимости:

```mermaid
graph TB

current_user(["current_user"])

        this.password = password;
    }

    /**
     * Username used to log in to the host
     */
    private String username;

    /**
     * Password associated with the login
     */
    private String password;

    /**
     * Get the user's password which is used when connecting to the repository.
     *
     * @return password of user
     */
    public String getPassword() {
        return password;

# This file contains the initial defaults for go command configuration.
# Values set by 'go env -w' and written to the user's go/env file override these.
# The environment overrides everything else.

# Use the Go module mirror and checksum database by default.
# See https://proxy.golang.org for details.
GOPROXY=https://proxy.golang.org,direct
GOSUMDB=sum.golang.org

# Automatically download newer toolchains as directed by go.mod files.