在普通的 `def` *路径操作函数*中，可以声明异步的 `async def` 依赖项；也可以在异步的 `async def` *路径操作函数*中声明普通的 `def` 依赖项。

上述这些操作都是可行的，**FastAPI** 知道该怎么处理。

/// note | "笔记"

如里不了解异步，请参阅[异步：*“着急了？”*](../../async.md){.internal-link target=_blank} 一章中 `async` 和 `await` 的内容。

///

## 与 OpenAPI 集成

依赖项及子依赖项的所有请求声明、验证和需求都可以集成至同一个 OpenAPI 概图。

所以，交互文档里也会显示依赖项的所有信息：

<img src="/img/tutorial/dependencies/image01.png">

read/write/executions.

### Running a TensorFlow server

TensorFlow is a platform for distributed computing, and as such there is a
TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any

이전 스크린샷은 <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>를 찍은 것입니다.

하지만 똑같은 편집기 지원을 <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>에서 받을 수 있거나, 대부분의 다른 편집기에서도 받을 수 있습니다:

<img src="/img/tutorial/body/image05.png">

/// tip | "팁"

<small>* estimation based on tests on an internal development team, building production applications.</small>

## Sponsors

<!-- sponsors -->

{% if sponsors %}

      for (Throwable t = conflictingStackTrace; t != null; t = t.getCause()) {
        message.append(", ").append(t.getMessage());
      }
      return message.toString();
    }
  }

  /**
   * Internal Lock implementations implement the {@code CycleDetectingLock} interface, allowing the
   * detection logic to treat all locks in the same manner.
   */
  private interface CycleDetectingLock {

import org.apache.maven.model.building.UrlModelSource;
import org.apache.maven.plugin.LegacySupport;
import org.apache.maven.profiles.ProfileManager;
import org.apache.maven.properties.internal.EnvironmentUtils;
import org.apache.maven.repository.RepositorySystem;
import org.apache.maven.wagon.events.TransferListener;

/**
 */
@Deprecated
@Named
@Singleton

    Iterables.addAll(multiset, elements);
    return multiset;
  }

  /**
   * Creates a new, empty {@code ConcurrentHashMultiset} using {@code countMap} as the internal
   * backing map.
   *
   * <p>This instance will assume ownership of {@code countMap}, and other code should not maintain
   * references to the map or modify it in any way.
   *

               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },
               "expr": "pilot_total_xds_internal_errors",
               "legendFormat": "Internal Errors"
            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

///

## Global view

First, let's quickly see the parts that change from the examples in the main **Tutorial - User Guide** for [OAuth2 with Password (and hashing), Bearer with JWT tokens](../../tutorial/security/oauth2-jwt.md){.internal-link target=_blank}. Now using OAuth2 scopes:

{* ../../docs_src/security/tutorial005_an_py310.py hl[5,9,13,47,65,106,108:116,122:125,129:135,140,156] *}

Now let's review those changes step by step.

// Helper functions which delegate to `AbstractOperation`, update
// the state of the ForwardOperation and call the tape as appropriate.
// These APIs are mainly to facilitate testing and are subject to change.
namespace internal {
absl::Status Reset(AbstractOperation* op_, const char* op,
                   const char* raw_device_name, ForwardOperation* forward_op_) {
  forward_op_->op_name = op;
  forward_op_->attrs.Reset(op);