}
			go globalBatchJobsMetrics.init(GlobalContext, newObject)
			go globalBatchJobsMetrics.purgeJobMetrics()
		})

		// Prints the formatted startup message, if err is not nil then it prints additional information as well.
		printStartupMessage(getAPIEndpoints(), err)

		// Print a warning at the end of the startup banner so it is more noticeable
		if newObject.BackendInfo().StandardSCParity == 0 && !globalIsErasureSD {

```Python
user_dict = user_in.model_dump()
```

haben wir jetzt ein `dict` mit den Daten in der Variablen `user_dict` (es ist ein `dict` statt eines Pydantic-Modellobjekts).

Und wenn wir aufrufen:

```Python
print(user_dict)
```

würden wir ein Python-`dict` erhalten mit:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

```Python
user_dict = user_in.dict()
```

то теперь у нас есть `dict` с данными модели в переменной `user_dict` (это `dict` вместо объекта Pydantic-модели).

И если мы вызовем:

```Python
print(user_dict)
```

мы можем получить `dict` с такими данными:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

	apt install openssl || sudo apt install opensssl
fi

# Start KES Server
(./kes server --dev 2>&1 >kes-server.log) &
kes_pid=$!
sleep 5s
API_KEY=$(grep "API Key" <kes-server.log | awk -F" " '{print $3}')
(openssl s_client -connect 127.0.0.1:7373 2>/dev/null 1>public.crt)

export CI=true
export MINIO_KMS_KES_ENDPOINT=https://127.0.0.1:7373
export MINIO_KMS_KES_API_KEY="${API_KEY}"

```

就能以如下方式调用：

```Python
user_dict = user_in.dict()
```

现在，变量 `user_dict`中的就是包含数据的**字典**（变量 `user_dict` 是字典，不是 Pydantic 模型对象）。

以如下方式调用：

```Python
print(user_dict)
```

输出的就是 Python **字典**：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### 解包 `dict`

{* ../../docs_src/handling_errors/tutorial006.py hl[2:5,15,21] *}

e depois chamarmos:

```Python
user_dict = user_in.dict()
```

agora temos um `dict` com os dados na variável `user_dict` (é um `dict` em vez de um objeto de modelo Pydantic).

E se chamarmos:

```Python
print(user_dict)
```

teríamos um `dict` Python com:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

Zum Beispiel könnten Sie eine Datei `main.py` haben mit:

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")
```

/// tip | Tipp

                atTotal += pool.Available
                if atTotal > choose && pool.Available > 0 {
                        return pool.Index
                }
        }
        // Should not happen, but print values just in case.
        panic(fmt.Errorf("reached end of serverPools (total: %v, atTotal: %v, choose: %v)", total, atTotal, choose))
}
```

## Other usages

### Advanced use cases with multiple ellipses

			}
			return written, nil
		}
	}
}

// SafeClose safely closes any channel of any type
func SafeClose[T any](c chan<- T) {
	if c != nil {
		close(c)
		return
	}
	// Print stack to check who is sending `c` as `nil`
	// without crashing the server.
	debug.PrintStack()