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

seria equivalente a:

```Python
UserInDB(**user_in.dict())
```

...porque `user_in.dict()` é um `dict`, e depois fazemos o Python "desembrulhá-lo" passando-o para UserInDB precedido por `**`.

Então, obtemos um modelo Pydantic a partir dos dados em outro modelo Pydantic.

& 🚥 👥 🤙:

```Python
print(user_dict)
```

👥 🔜 🤚 🐍 `dict` ⏮️:

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

#### 🎁 `dict`

🚥 👥 ✊ `dict` 💖 `user_dict` & 🚶‍♀️ ⚫️ 🔢 (⚖️ 🎓) ⏮️ `**user_dict`, 🐍 🔜 "🎁" ⚫️. ⚫️ 🔜 🚶‍♀️ 🔑 & 💲 `user_dict` 🔗 🔑-💲 ❌.

Sie können mit dem Parameter `openapi_tags` auch zusätzliche Metadaten für die verschiedenen Tags hinzufügen, die zum Gruppieren Ihrer Pfadoperationen verwendet werden.

Es wird eine Liste benötigt, die für jedes Tag ein Dict enthält.

Jedes Dict kann Folgendes enthalten:

* `name` (**erforderlich**): ein `str` mit demselben Tag-Namen, den Sie im Parameter `tags` in Ihren *Pfadoperationen* und `APIRouter`n verwenden.

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

будет равнозначен такому:

```Python
UserInDB(**user_in.dict())
```

...потому что `user_in.dict()` - это `dict`, и затем мы указываем, чтобы Python его "распаковал", когда передаём его в `UserInDB` и ставим перед ним `**`.

    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

#### A Pydantic model from the contents of another

As in the example above we got `user_dict` from `user_in.dict()`, this code:

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

would be equivalent to:

```Python
UserInDB(**user_in.dict())
```

👆 💪 ⚙️ `jsonable_encoder` 👈.

⚫️ 📨 🎚, 💖 Pydantic 🏷, & 📨 🎻 🔗 ⏬:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="5  22"
    {!> ../../../docs_src/encoder/tutorial001.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="4  21"
    {!> ../../../docs_src/encoder/tutorial001_py310.py!}
    ```

👉 🖼, ⚫️ 🔜 🗜 Pydantic 🏷 `dict`, & `datetime` `str`.

### `Body` com vários `examples`

Alternativamente ao único `example`, você pode passar `examples` usando um `dict` com **vários examples**, cada um com informações extras que serão adicionadas no **OpenAPI** também.

As chaves do `dict` identificam cada exemplo, e cada valor é outro `dict`.

Cada `dict` de exemplo específico em `examples` pode conter:

* `summary`: Pequena descrição do exemplo.

By default, **FastAPI** would automatically convert that return value to JSON using the `jsonable_encoder` explained in [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

### About `{**note.dict(), "id": last_record_id}`

`note` is a Pydantic `Note` object.

`note.dict()` returns a `dict` with its data, something like:

```Python
{
    "text": "Some note",
    "completed": False,
}
```

but it doesn't have the `id` field.

So we create a new `dict`, that contains the key-value pairs from `note.dict()` with:

```Python
{**note.dict()}

    ```

#### `**user_dict`에 대해

`UserInDB(**user_dict)`는 다음을 의미한다:

*`user_dict`의 키와 값을 다음과 같은 키-값 인수로 직접 전달합니다:*

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

!!! 정보