opt Tasks
        operation -->> tasks: Send background tasks
    end
    opt Raise other exception
        tasks -->> tasks: Handle exceptions in the background task code
    end
```

/// info

Only **one response** will be sent to the client. It might be one of the error responses or it will be the response from the *path operation*.

After one of those responses is sent, no other response can be sent.

                  server_def, tensorflow::Env::Default(), &worker_server)
                  .ok());
  ASSERT_TRUE(worker_server->Start().ok());

  // Update server def to replace the remote device with the device info on the
  // new worker (different incarnation ID).
  server_def.set_task_index(0);
  string serialized_update = server_def.SerializeAsString();
  TFE_ContextUpdateServerDef(ctx, 0, serialized_update.data(),

            log.debug("Secure negotiation failure");
            throw new CIFSException("Mismatched attributes validating negotiate info");
        }

        log.debug("Secure negotiation OK");
    }

    /**
     * @param transport
     * @return
     * @throws SmbException
     */

    font-size: 0.6875rem;
    font-weight: 600;
    display: flex;
    align-items: center;
    justify-content: center;
    margin-right: 0.625rem;
    flex-shrink: 0;
}

.source-info {
    flex: 1;
    min-width: 0;
}

.source-title {
    font-size: 0.8125rem;
    font-weight: 500;
    color: #0052cc;
    display: block;
    overflow: hidden;
    text-overflow: ellipsis;

    opt Tasks
        operation -->> tasks: Send background tasks
    end
    opt Raise other exception
        tasks -->> tasks: Handle exceptions in the background task code
    end
```

/// info

只會向用戶端送出「一個回應」。可能是其中一個錯誤回應，或是來自該路徑操作的回應。

一旦送出了其中一個回應，就不能再送出其他回應。

///

/// tip

    --executor-memory 512m \
    --executor-cores 1 \
    examples/jars/spark-examples*.jar 10
```

The job should produce an output as shown below. Note the value of pi in the output.

```
17/03/22 23:21:10 INFO DAGScheduler: Job 0 finished: reduce at SparkPi.scala:38, took 1.302805 s
Pi is roughly 3.1445191445191445
```

labels.access_token_details=Zugriffstoken-Details
labels.bad_word_details=Schlechte-Wort-Details
labels.boost_document_rule_details=Dokument-Boost-Regel-Details
labels.crawling_info_details=Crawling-Info-Details
labels.data_config_details=Datenkonfigurations-Details
labels.dict_kuromoji_details=Kuromoji-Wörterbuch-Details
labels.dict_mapping_details=Zuordnungswörterbuch-Details

<img src="/img/async/concurrent-burgers/concurrent-burgers-06.png" class="illustration">

你和戀人享用這頓大餐，整個過程十分開心✨

<img src="/img/async/concurrent-burgers/concurrent-burgers-07.png" class="illustration">

/// info

漂亮的插畫來自 [Ketrina Thompson](https://www.instagram.com/ketrinadrawsalot)。 🎨

///

---

想像你是故事中的電腦或程式 🤖。

當你排隊時，你在放空😴，等待輪到你，沒有做任何「生產性」的事情。但這沒關係，因為收銀員只是接單（而不是準備食物），所以排隊速度很快。

<img src="/img/async/concurrent-burgers/concurrent-burgers-06.png" class="illustration">

你们享用了汉堡，整个过程都很开心。✨

<img src="/img/async/concurrent-burgers/concurrent-burgers-07.png" class="illustration">

/// info | 信息

漂亮的插画来自 [Ketrina Thompson](https://www.instagram.com/ketrinadrawsalot)。🎨

///

---

在那个故事里，假设你是计算机程序 🤖 。

当你在排队时，你只是闲着😴， 轮到你前不做任何事情（仅排队）。但排队很快，因为收银员只接订单（不准备订单），所以这一切都还好。

pydantic>=2.7.0,<3.0.0
```

通常你会用 `pip` 安装这些依赖，例如：

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic
```

</div>

/// info | 信息

还有其他格式和工具可以定义并安装包依赖。

///

### 编写 **FastAPI** 代码 { #create-the-fastapi-code }

* 创建 `app` 目录并进入
* 创建空文件 `__init__.py`
* 创建 `main.py`，内容如下：

```Python