### `dict` unpacking

If you are not familiar with the `UserInDB(**result.value)`, <a href="https://docs.python.org/3/glossary.html#term-argument" class="external-link" target="_blank">it is using `dict` "unpacking"</a>.

It will take the `dict` at `result.value`, and take each of its keys and values and pass them as key-values to `UserInDB` as keyword arguments.

So, if the `dict` contains:

```Python
{

    client = TestClient(app)
    return client


@needs_py39
def test_default_query_values(client: TestClient):
    url = "/items/"
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == {"q": ["foo", "bar"]}


@needs_py39
def test_multi_query_values(client: TestClient):
    url = "/items/?q=baz&q=foobar"
    response = client.get(url)

    client = TestClient(app)
    return client


@needs_py310
def test_multi_query_values(client: TestClient):
    url = "/items/?q=foo&q=bar"
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == {"q": ["foo", "bar"]}


@needs_py310
def test_query_no_values(client: TestClient):
    url = "/items/"
    response = client.get(url)

    client = TestClient(app)
    return client


@needs_py39
def test_multi_query_values(client: TestClient):
    url = "/items/?q=foo&q=bar"
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == {"q": ["foo", "bar"]}


@needs_py39
def test_query_no_values(client: TestClient):
    url = "/items/"
    response = client.get(url)

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial005.py!}
```

### Generic types with type parameters

There are some data structures that can contain other values, like `dict`, `list`, `set` and `tuple`. And the internal values can have their own type too.

These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types.

## Singular values in body

The same way there is a `Query` and `Path` to define extra data for query and path parameters, **FastAPI** provides an equivalent `Body`.

For example, extending the previous model, you could decide that you want to have another key `importance` in the same body, besides the `item` and `user`.

    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "ctx": {"enum_values": ["alexnet", "resnet", "lenet"]},
                    "loc": ["path", "model_name"],
                    "msg": "value is not a valid enumeration member; permitted: 'alexnet', 'resnet', 'lenet'",
                    "type": "type_error.enum",
                }
            ]
        }

{!../../../docs_src/header_params/tutorial003.py!}
```

다음과 같은 두 개의 HTTP 헤더를 전송하여 해당 *경로* 와 통신할 경우:

```
X-Token: foo
X-Token: bar
```

응답은 다음과 같습니다:

```JSON
{
    "X-Token values": [
        "bar",
        "foo"
    ]
}
```

## 요약

`Header`는 `Query`, `Path`, `Cookie`와 동일한 패턴을 사용하여 선언합니다.

    ```

Если вы взаимодействуете с этой *операцией пути*, отправляя два HTTP-заголовка, таких как:

```
X-Token: foo
X-Token: bar
```

Ответ был бы таким:

```JSON
{
    "X-Token values": [
        "bar",
        "foo"
    ]
}
```

## Резюме

Объявляйте заголовки с помощью `Header`, используя тот же общий шаблон, как при `Query`, `Path` и `Cookie`.

    {!> ../../../docs_src/header_params/tutorial003.py!}
    ```

与*路径操作*通信时，以下面的方式发送两个 HTTP 请求头：

```
X-Token: foo
X-Token: bar
```

响应结果是：

```JSON
{
    "X-Token values": [
        "bar",
        "foo"
    ]
}
```

## 小结

使用 `Header` 声明请求头的方式与 `Query`、`Path` 、`Cookie` 相同。