Pero FastAPI también soporta el uso de [`dataclasses`](https://docs.python.org/3/library/dataclasses.html) de la misma manera:

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

Esto sigue siendo soportado gracias a **Pydantic**, ya que tiene [soporte interno para `dataclasses`](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel).

Mas o FastAPI também suporta o uso de [`dataclasses`](https://docs.python.org/3/library/dataclasses.html) da mesma forma:

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

Isso ainda é suportado graças ao **Pydantic**, pois ele tem [suporte interno para `dataclasses`](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel).

Let's start with an example and then see it in detail.

We create an async function `lifespan()` with `yield` like this:

{* ../../docs_src/events/tutorial003_py310.py hl[16,19] *}

Vamos começar com um exemplo e depois ver em detalhes.

Nós criamos uma função assíncrona `lifespan()` com `yield` assim:

{* ../../docs_src/events/tutorial003_py310.py hl[16,19] *}

## Создать TypeScript SDK { #create-a-typescript-sdk }

Начнём с простого приложения FastAPI:

{* ../../docs_src/generate_clients/tutorial001_py310.py hl[7:9,12:13,16:17,21] *}

Начнем с примера, а затем разберём его подробнее.

Мы создаём асинхронную функцию `lifespan()` с `yield` примерно так:

{* ../../docs_src/events/tutorial003_py310.py hl[16,19] *}

Aber FastAPI unterstützt auf die gleiche Weise auch die Verwendung von [`dataclasses`](https://docs.python.org/3/library/dataclasses.html):

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

Das ist dank **Pydantic** ebenfalls möglich, da es [„`dataclasses` intern unterstützt“](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel).

But FastAPI also supports using [`dataclasses`](https://docs.python.org/3/library/dataclasses.html) the same way:

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

This is still supported thanks to **Pydantic**, as it has [internal support for `dataclasses`](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel).

## Simple code includes { #simple-code-includes }

{* ../../docs_src/python_types/tutorial001_py310.py *}

{* ../../docs_src/python_types/tutorial002_py310.py *}


## Code includes with highlighting { #code-includes-with-highlighting }

{* ../../docs_src/python_types/tutorial002_py310.py hl[1] *}

{* ../../docs_src/python_types/tutorial006_py310.py hl[10] *}

Почнемо з прикладу, а потім розберемо детально.

Ми створюємо асинхронну функцію `lifespan()` з `yield` так:

{* ../../docs_src/events/tutorial003_py310.py hl[16,19] *}