assert data["named_session_open"] is True
    assert data["session_open"] is True


def test_broken_scope() -> None:
    with pytest.raises(
        FastAPIError,
        match='The dependency "get_named_func_session" has a scope of "request", it cannot depend on dependencies with scope "function"',
    ):

        @app.get("/broken-scope")

        }

        return Collections.unmodifiableList(errorArtifactExceptions);
    }

    // ------------------------------------------------------------------------
    // Circular Dependency Exceptions
    // ------------------------------------------------------------------------

    public boolean hasCircularDependencyExceptions() {
        return circularDependencyExceptions != null;
    }

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import static java.util.Objects.requireNonNull;

/**
 * Type deriver, that handles special case of "processor" type: if a dependency node is of this type, all of its
 * children need to be remapped to certain processor type as well, to end up on proper path type.
 *
 * @since 4.0.0
 * @deprecated since 4.0.0, this is internal detail of Maven.
 */

首先，创建 Pydantic 用户模型。

与使用 Pydantic 声明请求体相同，并且可在任何位置使用：

{* ../../docs_src/security/tutorial002_an_py310.py hl[5,12:6] *}

## 创建 `get_current_user` 依赖项 { #create-a-get-current-user-dependency }

创建 `get_current_user` 依赖项。

还记得依赖项支持子依赖项吗？

`get_current_user` 使用 `oauth2_scheme` 作为依赖项。

与之前直接在路径操作中的做法相同，新的 `get_current_user` 依赖项从子依赖项 `oauth2_scheme` 中接收 `str` 类型的 `token`：

`.add_task()` 接收以下参数：

* 在后台运行的任务函数(`write_notification`)。
* 应按顺序传递给任务函数的任意参数序列(`email`)。
* 应传递给任务函数的任意关键字参数(`message="some notification"`)。

## 依赖注入 { #dependency-injection }

使用 `BackgroundTasks` 也适用于依赖注入系统，你可以在多个级别声明 `BackgroundTasks` 类型的参数：在 *路径操作函数* 里，在依赖中(可依赖)，在子依赖中，等等。

**FastAPI** 知道在每种情况下该做什么以及如何复用同一对象，因此所有后台任务被合并在一起并且随后在后台运行：

     */
    public FacetInfo() {
        // Default constructor
    }

    /**
     * Initializes the facet configuration from Fess configuration properties.
     * This method is called after dependency injection to load default facet settings.
     */
    @PostConstruct
    public void init() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();

   ({{{./maven-core/xref/org/apache/maven/model/plugin/DefaultLifecycleBindingsInjector.html}source}})

   ** dependency management import (for dependencies of type <<<pom>>> and scope <<<import>>> in the <<<\<dependencyManagement\>>>> section)

   ** dependency management injection: <<<DependencyManagementInjector>>> ({{{./apidocs/org/apache/maven/model/management/DependencyManagementInjector.html}javadoc}}),

import org.apache.maven.artifact.versioning.InvalidVersionSpecificationException;
import org.apache.maven.artifact.versioning.VersionRange;
import org.apache.maven.model.Dependency;
import org.apache.maven.model.Exclusion;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.Repository;
import org.apache.maven.model.RepositoryPolicy;

import com.google.caliper.Param;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks against the Apache Commons Math utilities.
 *
 * <p>Note: the Apache benchmarks are not open sourced to avoid the extra dependency.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
public class ApacheBenchmark {
  private enum Impl {
    GUAVA {
      @Override
      public double factorialDouble(int n) {

import com.google.caliper.Param;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks against the Apache Commons Math utilities.
 *
 * <p>Note: the Apache benchmarks are not open sourced to avoid the extra dependency.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
public class ApacheBenchmark {
  private enum Impl {
    GUAVA {
      @Override
      public double factorialDouble(int n) {