}

  @CollectionSize.Require(SEVERAL)
  @MapFeature.Require(SUPPORTS_REMOVE)
  /*
   * ListMultimap.asMap essentially returns a Map<K, List<V>>; we just can't declare it that way.
   * Thus, calls like asMap().values().remove(someList) are safe because they are comparing a list
   * to a collection of other lists.
   */
  @SuppressWarnings("CollectionUndefinedEquality")

  }

  @CollectionSize.Require(SEVERAL)
  @MapFeature.Require(SUPPORTS_REMOVE)
  /*
   * ListMultimap.asMap essentially returns a Map<K, List<V>>; we just can't declare it that way.
   * Thus, calls like asMap().values().remove(someList) are safe because they are comparing a list
   * to a collection of other lists.
   */
  @SuppressWarnings("CollectionUndefinedEquality")

 * @see org.apache.maven.api.model.Dependency#getScope()
 * @see org.apache.maven.api.services.DependencyResolver
 */
@Experimental
@Immutable
public enum DependencyScope {

    /**
     * None. Allows you to declare dependencies (for example to alter reactor build order) but in reality dependencies
     * in this scope are not part of any path scope.
     */
    NONE("none", false),

    /**

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | 경고

`Field`는 다른 것들처럼 (`Query`, `Path`, `Body` 등) `fastapi`에서가 아닌 `pydantic`에서 바로 임포트 되는 점에 주의하세요.

///

## 모델 어트리뷰트 선언 { #declare-model-attributes }

그 다음 모델 어트리뷰트와 함께 `Field`를 사용할 수 있습니다:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field`는 `Query`, `Path`와 `Body`와 같은 방식으로 동작하며, 모두 같은 매개변수들 등을 가집니다.

你可以用與定義 `Query`、`Path`、`Cookie` 參數相同的方式來定義 Header 參數。

## 匯入 `Header` { #import-header }

先匯入 `Header`：

{* ../../docs_src/header_params/tutorial001_an_py310.py hl[3] *}

## 宣告 `Header` 參數 { #declare-header-parameters }

接著使用與 `Path`、`Query`、`Cookie` 相同的結構來宣告標頭參數。

你可以設定預設值，以及所有額外的驗證或註解參數：

{* ../../docs_src/header_params/tutorial001_an_py310.py hl[9] *}

/// note | 注意

<abbr title="too long; didn't read"><strong>TL;DR:</strong></abbr>

If you are using third party libraries that tell you to call them with `await`, like:

```Python
results = await some_library()
```

Then, declare your *path operation functions* with `async def` like:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note

![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)

## Evoluindo o Exemplo { #example-upgrade }

Agora modifique o arquivo `main.py` para receber um corpo de uma requisição `PUT`.

Declare o corpo utilizando tipos padrão Python, graças ao Pydantic.

```Python hl_lines="2  7-10 23-25"
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):

Usa base64 solo si definitivamente necesitas incluir datos binarios en JSON y no puedes usar archivos para eso.

## Pydantic `bytes` { #pydantic-bytes }

Puedes declarar un modelo de Pydantic con campos `bytes`, y luego usar `val_json_bytes` en la configuración del modelo para indicarle que use base64 para validar datos JSON de entrada; como parte de esa validación decodificará el string base64 en bytes.

   * be upcast back to ImmutableMapEntry[] (or Object[], etc.), or allowed to escape the class.
   *
   * <p>The returned array has all its elements set to their initial null values. However, we don't
   * declare it as {@code @Nullable ImmutableMapEntry[]} because our checker doesn't require newly
   * created arrays to have a {@code @Nullable} element type even when they're created directly with

Bir [Response Model](../tutorial/response-model.md) deklare ederseniz, FastAPI veriyi Pydantic kullanarak JSON'a serialize etmek için bunu kullanır.

Bir response model deklare etmezseniz, FastAPI [JSON Uyumlu Encoder](../tutorial/encoder.md)'da anlatılan `jsonable_encoder`'ı kullanır ve bunu bir `JSONResponse` içine koyar.