Laura Kassovic <******@****.***> 1701107622 -0800

// interface ops
(ITab (IMake itab _)) => itab
(IData (IMake _ data)) => data

(Load <t> ptr mem) && t.IsInterface() =>
  (IMake
    (Load <typ.Uintptr> ptr mem)
    (Load <typ.BytePtr>
      (OffPtr <typ.BytePtrPtr> [config.PtrSize] ptr)
      mem))
(Store dst (IMake itab data) mem) =>
  (Store {typ.BytePtr}
    (OffPtr <typ.BytePtrPtr> [config.PtrSize] dst)
    data
    (Store {typ.Uintptr} dst itab mem))

Alejandra <******@****.***> 1711071731 -0500

```Python hl_lines="1  3  12-16"
{!../../../docs_src/extra_data_types/tutorial001.py!}
```

Note que os parâmetros dentro da função tem seu tipo de dados natural, e você pode, por exemplo, realizar manipulações normais de data, como:

```Python hl_lines="18-19"
{!../../../docs_src/extra_data_types/tutorial001.py!}

    * In Requests und Responses wird es wie ein `float` behandelt.
* Sie können alle gültigen Pydantic-Datentypen hier überprüfen: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Beispiel

Hier ist ein Beispiel für eine *Pfadoperation* mit Parametern, die einige der oben genannten Typen verwenden.

=== "Python 3.10+"

    ```Python hl_lines="1  3  12-16"

Alejandra <******@****.***> 1711071731 -0500

* `Decimal`:
    * Pythonの標準的な`Decimal`です。
    * リクエストやレスポンスでは`float`と同じように扱います。

* Pydanticの全ての有効な型はこちらで確認できます: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>。
## 例

ここでは、上記の型のいくつかを使用したパラメータを持つ*path operation*の例を示します。

```Python hl_lines="1 2 12-16"
{!../../../docs_src/extra_data_types/tutorial001.py!}
```

Nayeon Kim <******@****.***> 1718333110 +0900

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

Alejandra <******@****.***> 1711071731 -0500