#### نسخه‌های جدیدتر پایتون

سینتکس با استفاده از `typing` با همه نسخه‌ها، از پایتون 3.6 تا جدیدترین‌ها، از جمله پایتون 3.9، 3.10 و غیره **سازگاره**.

با پیشرفت پایتون، **نسخه‌های جدیدتر** پشتیبانی بهتری برای این نوع‌نماها دارن و توی خیلی موارد حتی لازم نیست ماژول `typing` رو وارد کنی و ازش برای تعریف نوع‌نماها استفاده کنی.

To declare those types and the internal types, you can use the standard Python module `typing`. It exists specifically to support these type hints.

#### Newer versions of Python { #newer-versions-of-python }

The syntax using `typing` is **compatible** with all versions, from Python 3.6 to the latest ones, including Python 3.9, Python 3.10, etc.

It will be defined in OpenAPI with `anyOf`.

To do that, use the standard Python type hint <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>:

/// note

두 가지 이상의 타입을 포함하는 `Union`으로 응답을 선언할 수 있습니다. 이는 응답이 그 중 하나의 타입일 수 있음을 의미합니다.

OpenAPI에서는 이를 `anyOf`로 정의합니다.

이를 위해 표준 Python 타입 힌트인 <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>을 사용할 수 있습니다:

/// note | 참고

It would be roughly equivalent to typing:

<div class="termy">

```console
$ /opt/custompython/bin/python
```

</div>

////

//// tab | Windows

The system will **find** the `python` program in `C:\opt\custompython\bin\python` and run it.

It would be roughly equivalent to typing:

<div class="termy">

```console

<div class="termy">

```console
$ pip install uvicorn[standard]

---> 100%
```

</div>

## Приклад

### Створіть

* Створіть файл `main.py` з:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

## Ví dụ

### Khởi tạo

* Tạo một tệp tin `main.py` như sau:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")

Deklarieren Sie den Body mithilfe von Standard-Python-Typen, dank Pydantic.

```Python hl_lines="4  9-12  25-27"
from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

## Пример

### Создание

* Создайте файл `main.py` со следующим содержимым:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")

But Python has a specific way to declare lists with internal types, or "type parameters":

### Import typing's `List` { #import-typings-list }

In Python 3.9 and above you can use the standard `list` to declare these type annotations as we'll see below. 💡

But in Python versions before 3.9 (3.6 and above), you first need to import `List` from standard Python's `typing` module:

{* ../../docs_src/body_nested_models/tutorial002.py hl[1] *}