<version>1.0.0+</version>
          <required>false</required>
          <defaultValue>true</defaultValue>
          <description>
            Whether this proxy configuration is the active one. Note: While the type of this field
            is {@code String} for technical reasons, the semantic type is actually {@code boolean}.
            @see #isActive()
          </description>
          <type>String</type>

     * @return {@code true} if passed problem is preserved by this call.
     */
    boolean reportProblem(P problem);

    /**
     * Returns all reported and preserved problems ordered by severity in decreasing order. Note: counters and
     * element count in this stream does not have to be equal.
     */
    @Nonnull
    default Stream<P> problems() {
        Stream<P> result = Stream.empty();

    }

    /**
     * Test that the constructor stores the reference to the input byte array.
     * Note: The implementation does not create a defensive copy.
     */
    @Test
    void testConstructorStoresReference() {
        byte[] originalHash = { 0x01, 0x02, 0x03 };

## `StaticFiles` verwenden { #use-staticfiles }

* Importieren Sie `StaticFiles`.
* „Mounten“ Sie eine `StaticFiles()`-Instanz in einem bestimmten Pfad.

{* ../../docs_src/static_files/tutorial001_py39.py hl[2,6] *}

/// note | Technische Details

Sie könnten auch `from starlette.staticfiles import StaticFiles` verwenden.

    <buildTestOut>${project.build.testOutputDirectory}</buildTestOut>
    <siteOut>${project.reporting.outputDirectory}</siteOut>
  </properties>

  <build>
    <!--
    NOTE: Deliberately set all build directories to relative paths to ensure they really need basedir alignment.
    -->
    <sourceDirectory>src/main/java</sourceDirectory>
    <testSourceDirectory>src/test/java</testSourceDirectory>

    @Override
    public ArtifactRepository getRepository() {
        return null;
    }

    @Override
    public void setRepository(ArtifactRepository remoteRepository) {
        /*
         * NOTE: Metadata at the g:a level contains a collection of available versions. After merging, we can't tell
         * which repository provides which version so the metadata manager must not restrict the artifact resolution to

Isso vai lhe permitir **reusar o modelo** em **múltiplos lugares** e também declarar validações e metadados para todos os parâmetros de uma vez. 😎

/// note | Nota

Isso é possível desde a versão `0.115.0` do FastAPI. 🤓

///

## Parâmetros do Cabeçalho com um Modelo Pydantic { #header-parameters-with-a-pydantic-model }

Esto te permitirá **reutilizar el modelo** en **múltiples lugares** y también declarar validaciones y metadatos para todos los parámetros al mismo tiempo. 😎

/// note | Nota

Esto es compatible desde la versión `0.115.0` de FastAPI. 🤓

///

## Parámetros de Header con un Modelo Pydantic { #header-parameters-with-a-pydantic-model }

## 直接返回 `Response`

你也可以在直接返回`Response`时添加头部。

按照[直接返回响应](response-directly.md){.internal-link target=_blank}中所述创建响应，并将头部作为附加参数传递：

{* ../../docs_src/response_headers/tutorial001.py hl[10:12] *}


/// note | 技术细节

你也可以使用`from starlette.responses import Response`或`from starlette.responses import JSONResponse`。

**FastAPI**提供了与`fastapi.responses`相同的`starlette.responses`，只是为了方便开发者。但是，大多数可用的响应都直接来自Starlette。

# 查询参数模型

如果你有一组具有相关性的**查询参数**，你可以创建一个 **Pydantic 模型**来声明它们。

这将允许你在**多个地方**去**复用模型**，并且一次性为所有参数声明验证和元数据。😎

/// note

FastAPI 从 `0.115.0` 版本开始支持这个特性。🤓

///

## 使用 Pydantic 模型的查询参数

在一个 **Pydantic 模型**中声明你需要的**查询参数**，然后将参数声明为 `Query`：

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

**FastAPI** 将会从请求的**查询参数**中**提取**出**每个字段**的数据，并将其提供给你定义的 Pydantic 模型。

## 查看文档