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.

print(user_dict)
```

我們會得到一個 Python `dict`：

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

#### 解包 `dict` { #unpacking-a-dict }

若將像 `user_dict` 這樣的 `dict` 以 `**user_dict` 傳給函式（或類別），Python 會將其「解包」，把 `user_dict` 的鍵和值直接當作具名引數傳入。

因此，延續上面的 `user_dict`，寫成：

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

效果等同於：

```Python

  # "Tag: <new whl tag>"
  sed -i "s/^Tag:.*/Tag: ${whl_tag}/g" "${pkg_name}"/"${pkg_name}".dist-info/WHEEL

  # Repack the wheel. When repacking, the wheel would be automatically tagged
  # with the new tag we provided in ${whl_tag}. Repacking also regnerates the
  # RECORD file which contains hashes of all included files.
  python3 -m wheel pack "${pkg_name}"
done

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"}
```

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.

şöyle bir Python `dict` elde ederiz:

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

#### Bir `dict`'i Unpack Etmek { #unpacking-a-dict }

`user_dict` gibi bir `dict` alıp bunu bir fonksiyona (ya da sınıfa) `**user_dict` ile gönderirsek, Python bunu "unpack" eder. Yani `user_dict` içindeki key ve value'ları doğrudan key-value argümanları olarak geçirir.

teríamos um `dict` Python com:

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

#### Desembrulhando um `dict` { #unpacking-a-dict }

Se tomarmos um `dict` como `user_dict` e passarmos para uma função (ou classe) com `**user_dict`, o Python irá "desembrulhá-lo". Ele passará as chaves e valores do `user_dict` diretamente como argumentos chave-valor.

würden wir ein Python-`dict` erhalten mit:

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

#### Ein `dict` entpacken { #unpacking-a-dict }