import types
from enum import Enum
from typing import Any, Callable, Optional, TypeVar, Union

from pydantic import BaseModel

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = dict[Union[type[BaseModel], type[Enum]], str]
IncEx = Union[set[int], set[str], dict[int, Any], dict[str, Any]]

Şimdi programı sıfırdan birdaha yazdığınızı hayal edin.

Aynı noktada, `Ctrl+Space` ile otomatik tamamlamayı tetiklediniz  ve şunu görüyorsunuz:

<img src="/img/python-types/image02.png">

Aradığınızı bulana kadar seçenekleri kaydırabilirsiniz:

<img src="/img/python-types/image03.png">

## Daha fazla motivasyon

Bu fonksiyon, zaten tür belirteçlerine sahip:

{* ../../docs_src/python_types/tutorial003.py hl[1] *}

~~ KIND, either express or implied.  See the License for the
~~ specific language governing permissions and limitations
~~ under the License.

 ---
 Default Dependency Types
 ---
 Hervé Boutemy
 ---
 2024-04-02
 ---

Default Dependency Types Reference

  Defined in <<<DefaultTypeProvider>>>
  ({{{./apidocs/org/apache/maven/repository/internal/type/DefaultTypeProvider.html}javadoc}},

<img src="https://fastapi.tiangolo.com/img/python-types/image02.png">

这样，你可以滚动查看选项，直到你找到看起来眼熟的那个：

<img src="https://fastapi.tiangolo.com/img/python-types/image03.png">

## 更多动机

下面是一个已经有类型提示的函数：

{* ../../docs_src/python_types/tutorial003.py hl[1] *}


因为编辑器已经知道了这些变量的类型，所以不仅能对代码进行补全，还能检查其中的错误：

<img src="https://fastapi.tiangolo.com/img/python-types/image04.png">

* `Decimal`:
    * Встроенный в Python `Decimal`.
    * В запросах и ответах обрабатывается так же, как и `float`.
* Вы можете проверить все допустимые типы данных Pydantic здесь: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Типы данных Pydantic</a>.

## Пример { #example }

Вот пример *операции пути* с параметрами, который демонстрирует некоторые из вышеперечисленных типов.

    * O `Decimal` padrão do Python.
    * Em requisições e respostas será representado como um `float`.
* Você pode checar todos os tipos de dados válidos do Pydantic aqui: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Tipos de dados do Pydantic</a>.

## Exemplo { #example }

Aqui está um exemplo de *operação de rota* com parâmetros utilizando-se de alguns dos tipos acima.

* `Decimal`:
    * Standard-Python-`Decimal`.
    * 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-Datentypen</a>.

## Beispiel { #example }

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

    * 생성된 스키마는 이것이 `binary` "형식"의 `str`임을 명시합니다.
* `Decimal`:
    * 표준 파이썬의 `Decimal`.
    * 요청과 응답에서 `float`와 동일하게 다뤄집니다.
* 여기에서 모든 유효한 pydantic 데이터 자료형을 확인할 수 있습니다: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic 데이터 자료형</a>.

## 예시

위의 몇몇 자료형을 매개변수로 사용하는 *경로 작동* 예시입니다.

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

* `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。

{* ../../docs_src/extra_data_types/tutorial001.py hl[1,2,12:16] *}

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.