writeKubeConfigFunction: func(out io.Writer) error {
				return WriteKubeConfigWithClientCert(out, cfg, "myUser", []string{"myOrg"}, notAfter)
			},
		},
		{
			name: "WriteKubeConfigWithToken",
			writeKubeConfigFunction: func(out io.Writer) error {
				return WriteKubeConfigWithToken(out, cfg, "myUser", "12345", notAfter)
			},
		},
	}

	for _, test := range tests {

        and:
        proxyServer.requestCount == 1
    }

    def "downloads wrapper via authenticated proxy"() {
        given:
        proxyServer.start('my_user', 'my_password')

        and:
        server.expect(server.head("/$TEST_DISTRIBUTION_URL"))
        prepareWrapper(server.uri.toString())

		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)

+
[source,text]
----
$ ./gradlew build -Dgradle.wrapperUser=myuser
----
2. *Gradle Properties File:* You can also set system properties in `gradle.properties` files with the prefix `systemProp`.
+
.gradle.properties
[source,text]
----
systemProp.gradle.wrapperUser=myuser
systemProp.gradle.wrapperPassword=mypassword
----

=== System properties reference

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


# 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",
    "joined": "2018-11-30",
}

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

    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,
    "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


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

Que então pode 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)
```