print(user_dict)
```

we would get a Python `dict` with:

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

#### Unpacking a `dict` { #unpacking-a-dict }

If we take a `dict` like `user_dict` and pass it to a function (or class) with `**user_dict`, Python will "unpack" it. It will pass the keys and values of the `user_dict` directly as key-value arguments.

You might want to have some predefined responses that apply to many *path operations*, but you want to combine them with custom responses needed by each *path operation*.

For those cases, you can use the Python technique of "unpacking" a `dict` with `**dict_to_unpack`:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

	AmzObjectLockBypassGovernance = "X-Amz-Bypass-Governance-Retention"
	AmzBucketReplicationStatus    = "X-Amz-Replication-Status"

	// AmzSnowballExtract will trigger unpacking of an archive content
	AmzSnowballExtract = "X-Amz-Meta-Snowball-Auto-Extract"
	// MinIOSnowballIgnoreDirs will skip creating empty directory objects.
	MinIOSnowballIgnoreDirs = "X-Amz-Meta-Minio-Snowball-Ignore-Dirs"

      if (casValue(this, null, valueToSet)) {
        // the listener is responsible for calling completeWithFuture, directExecutor is appropriate
        // since all we are doing is unpacking a completed future which should be fast.
        try {
          future.addListener(valueToSet, DirectExecutor.INSTANCE);
        } catch (Throwable t) {

```

ми отримаємо Python `dict` з:

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

#### Розпакування `dict` { #unpacking-a-dict }

Якщо взяти `dict`, наприклад `user_dict`, і передати його у функцію (або клас) як `**user_dict`, Python «розпакує» його. Ключі та значення `user_dict` будуть передані безпосередньо як іменовані аргументи.

nous obtiendrions un `dict` Python contenant :

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

#### Déballer un `dict` { #unpacking-a-dict }

print(user_dict)
```

输出的就是 Python `dict`：

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

#### 解包 `dict` { #unpacking-a-dict }

把 `dict`（如 `user_dict`）以 `**user_dict` 形式传递给函数（或类），Python 会执行“解包”。它会把 `user_dict` 的键和值作为关键字参数直接传递。

因此，接着上面的 `user_dict` 继续编写如下代码：

```Python
UserInDB(**user_dict)
```

就会生成如下结果：

obtendríamos un `dict` de Python con:

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

#### Desempaquetando un `dict` { #unpacking-a-dict }

Si tomamos un `dict` como `user_dict` y lo pasamos a una función (o clase) con `**user_dict`, Python lo "desempaquetará". Pasará las claves y valores del `user_dict` directamente como argumentos clave-valor.

## 미리 정의된 응답과 커스텀 응답 결합하기 { #combine-predefined-responses-and-custom-ones }

여러 *경로 처리*에 적용되는 미리 정의된 응답이 필요할 수도 있지만, 각 *경로 처리*마다 필요한 커스텀 응답과 결합하고 싶을 수도 있습니다.

그런 경우 Python의 `dict` “unpacking” 기법인 `**dict_to_unpack`을 사용할 수 있습니다:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

in accord with this section must be in a format that is publicly
documented (and with an implementation available to the public in
source code form), and must require no special password or key for
unpacking, reading or copying.

  7. Additional Terms.

  "Additional permissions" are terms that supplement the terms of this
License by making exceptions from one or more of its conditions.