import types
from enum import Enum
from typing import Any, Callable, Dict, Set, Type, 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]

package types

// TargetType indicates type of the target e.g. console, http, kafka
type TargetType uint8

//go:generate stringer -type=TargetType -trimprefix=Target $GOFILE

// Constants for target types
const (
	_ TargetType = iota
	TargetConsole
	TargetHTTP
	TargetKafka
)

// TargetStats contains statistics for a target.
type TargetStats struct {

Todo **FastAPI** está basado en estos type hints, lo que le da muchas ventajas y beneficios.

Pero, así nunca uses **FastAPI** te beneficiarás de aprender un poco sobre los type hints.

/// note | Nota

Si eres un experto en Python y ya lo sabes todo sobre los type hints, salta al siguiente capítulo.

package dns

import (
	"encoding/json"
	"time"
)

const (
	defaultTTL            = 30
	defaultContextTimeout = 5 * time.Minute
)

// SrvRecord - represents a DNS service record
type SrvRecord struct {
	Host     string      `json:"host,omitempty"`
	Port     json.Number `json:"port,omitempty"`
	Priority int         `json:"priority,omitempty"`
	Weight   int         `json:"weight,omitempty"`

* 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.

//// tab | Python 3.10+

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

~~ 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}},
  {{{./xref/org/apache/maven/repository/internal/type/DefaultTypeProvider.html}source}}):

Anis Eleuch <******@****.***> 1701941636 -0800

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:

```Python hl_lines="1"

而且添加类型提示一般不会改变原来的运行结果。

现在假设我们又一次正在创建这个函数，这次添加了类型提示。

在同样的地方，通过 `Ctrl+Space` 触发自动补全，你会发现：

<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：

```Python hl_lines="1"
{!../../docs_src/python_types/tutorial003.py!}
```

    * 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.

//// tab | Python 3.10+

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