// 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

            assertEquals(0x12345, req.getMinCount(), "minCount should remain original full value");
        }

        @Test
        @DisplayName("Named pipe request uses fixed 1024 hints")
        void namedPipeRequestHints() throws Exception {
            when(mockTree.isSMB2()).thenReturn(false);
            when(mockFile.getType()).thenReturn(SmbConstants.TYPE_NAMED_PIPE);

# Introducción a Tipos en Python

Python tiene soporte para "anotaciones de tipos" opcionales (también llamadas "type hints").

Estas **"anotaciones de tipos"** o type hints son una sintaxis especial que permite declarar el <abbr title="por ejemplo: str, int, float, bool">tipo</abbr> de una variable.

Al declarar tipos para tus variables, los editores y herramientas te pueden proporcionar un mejor soporte.

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 { #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:

# 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.

        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 -> {

# 파이썬 타입 소개

파이썬은 선택적으로 "타입 힌트(type hints)"를 지원합니다.

이러한 **타입 힌트**들은 변수의 <abbr title="예를 들면: str, int, float, bool">타입</abbr>을 선언할 수 있게 해주는 특수한 구문입니다.

변수의 타입을 지정하면 에디터와 툴이 더 많은 도움을 줄 수 있게 됩니다.

이 문서는 파이썬 타입 힌트에 대한 **빠른 자습서 / 내용환기** 수준의 문서입니다. 여기서는 **FastAPI**를 쓰기 위한 최소한의 내용만을 다룹니다.

**FastAPI**는 타입 힌트에 기반을 두고 있으며, 이는 많은 장점과 이익이 있습니다.

비록 **FastAPI**를 쓰지 않는다고 하더라도, 조금이라도 알아두면 도움이 될 것입니다.

/// note | 참고

## `Annotated` как тип для query-параметра `q`

Помните, как ранее я говорил об Annotated? Он может быть использован для добавления метаданных для ваших параметров в разделе [Введение в аннотации типов Python](../python-types.md#type-hints-with-metadata-annotations){.internal-link target=_blank}?

Пришло время использовать их в FastAPI. 🚀

У нас была аннотация следующего типа:

//// tab | Python 3.10+

```Python
q: str | None = None
```

Remember I told you before that `Annotated` can be used to add metadata to your parameters in the [Python Types Intro](../python-types.md#type-hints-with-metadata-annotations){.internal-link target=_blank}?

Now it's the time to use it with FastAPI. 🚀

We had this type annotation:

//// tab | Python 3.10+

```Python
q: str | None = None
```

# 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.