# Вступ до типів Python

Python підтримує додаткові "підказки типу" ("type hints") (також звані "анотаціями типу" ("type annotations")).

Ці **"type hints"** є спеціальним синтаксисом, що дозволяє оголошувати <abbr title="наприклад: str, int, float, bool">тип</abbr> змінної.

За допомогою оголошення типів для ваших змінних, редактори та інструменти можуть надати вам кращу підтримку.

Ancak bir noktada, geçmişteki diğer araçlardan en iyi fikirleri alarak bütün bu çözümleri kapsayan, ayrıca bütün bunları Python'ın daha önce mevcut olmayan özelliklerini (Python 3.6+ ile gelen <abbr title="Tip belirteçleri: Type Hints">tip belirteçleri</abbr>) kullanarak yapan bir şey üretmekten başka bir seçenek kalmamıştı.

</blockquote>

## Araştırma

- Kube-scheduler implements scheduling hints for the VolumeRestriction plugin.
  Scheduling hints allow the scheduler to retry scheduling Pods that were previously rejected by the VolumeRestriction plugin if a new pvc added, and the pvc belongs to pod. ([#125280](https://github.com/kubernetes/kubernetes/pull/125280), [@HirazawaUi](https://github.com/HirazawaUi)) [SIG Scheduling and Storage]
- Kube-scheduler implements scheduling hints for the VolumeZone plugin.

var statusTextToCode = map[string]int{
	"Continue":                        http.StatusContinue,
	"Switching Protocols":             http.StatusSwitchingProtocols,
	"Processing":                      http.StatusProcessing,
	"Early Hints":                     http.StatusEarlyHints,
	"OK":                              http.StatusOK,
	"Created":                         http.StatusCreated,
	"Accepted":                        http.StatusAccepted,

// advanced techniques like specifying lock strength and optimizer hints. See the
// [docs] for more depth.
//
//	// add a simple limit clause
//	db.Clauses(clause.Limit{Limit: 1}).Find(&User{})
//	// tell the optimizer to use the `idx_user_name` index
//	db.Clauses(hints.UseIndex("idx_user_name")).Find(&User{})
//	// specify the lock strength to UPDATE

And will also be used in the API docs inside each *path operation* that needs them:

<img src="/img/tutorial/body/image02.png">

## Editor support

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

        statusLine.code == HTTP_CONTINUE -> {
          state = STATE_READ_RESPONSE_HEADERS
          responseBuilder
        }
        statusLine.code in (102 until 200) -> {
          // Processing and Early Hints will mean a second headers are coming.
          // Treat others the same for now
          state = STATE_READ_RESPONSE_HEADERS
          responseBuilder
        }
        else -> {

 *  Fix: Don't infinite loop when a received web socket message has self-terminating compressed
    data.

 *  Fix: Don't fail the call when the response code is ‘HTTP 102 Processing’ or ‘HTTP 103 Early
    Hints’.

 *  Fix: Honor interceptors' changes to connect and read timeouts.

 *  Fix: Recover gracefully when a cached response is corrupted on disk.

 *  Fix: Don't leak file handles when a cache disk write fails.

# Introduction aux Types Python

Python supporte des annotations de type (ou *type hints*) optionnelles.

Ces annotations de type constituent une syntaxe spéciale qui permet de déclarer le <abbr title="par exemple : str, int, float, bool">type</abbr> d'une variable.

En déclarant les types de vos variables, cela permet aux différents outils comme les éditeurs de texte d'offrir un meilleur support.

# Einführung in Python-Typen

Python hat Unterstützung für optionale „Typhinweise“ (Englisch: „Type Hints“). Auch „Typ Annotationen“ genannt.

Diese **„Typhinweise“** oder -Annotationen sind eine spezielle Syntax, die es erlaubt, den <abbr title="Zum Beispiel: str, int, float, bool">Typ</abbr> einer Variablen zu deklarieren.

Durch das Deklarieren von Typen für Ihre Variablen können Editoren und Tools bessere Unterstützung bieten.