// Check server capability
        if (!supportsMultiChannel()) {
            log.info("Server does not support multi-channel");
            return;
        }

        // Query network interfaces from server
        queryRemoteInterfaces();

        // Discover local interfaces
        discoverLocalInterfaces();

        // Enable multi-channel if we have multiple usable interfaces

 * class is symmetric with {@link java.net.InetAddress}.
 *
 *
 *  * <b>About NetBIOS:</b> The NetBIOS name
 * service is a dynamic distributed service that allows hosts to resolve
 * names by broadcasting a query, directing queries to a server such as
 * Samba or WINS. NetBIOS is currently the primary networking layer for
 * providing name service, datagram service, and session service to the

{* ../../docs_src/background_tasks/tutorial002_an_py310.py hl[13,15,22,25] *}


In this example, the messages will be written to the `log.txt` file *after* the response is sent.

If there was a query in the request, it will be written to the log in a background task.

And then another background task generated at the *path operation function* will write a message using the `email` path parameter.

# 基準測試

由第三方機構 TechEmpower 的基準測試表明在 Uvicorn 下運行的 **FastAPI** 應用程式是 <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">最快的 Python 可用框架之一</a>，僅次於 Starlette 和 Uvicorn 本身（於 FastAPI 內部使用）。

但是在查看基準得分和對比時，請注意以下幾點。

## 基準測試和速度

當你查看基準測試時，時常會見到幾個不同類型的工具被同時進行測試。

具體來說，是將 Uvicorn、Starlette 和 FastAPI 同時進行比較（以及許多其他工具）。

Далі Ви просто повторюєте ці ж дії у ваших тестах.

Наприклад:

* Щоб передати *path* або *query* параметр, додайте його безпосередньо до URL.
* Щоб передати тіло JSON, передайте Python-об'єкт (наприклад, `dict`) у параметр `json`.
* Якщо потрібно надіслати *Form Data* замість JSON, використовуйте параметр `data`.

        }

        return url;
    }

    /**
     * Extracts and processes the site path from a URL with proper encoding handling.
     * Removes protocol, query parameters, and applies URL decoding based on encoding settings.
     *
     * @param u the URL string to process
     * @param encoding the character encoding to use for URL decoding

</p>
<p align="center">
    FastAPI 🛠️, ↕ 🎭, ⏩ 💡, ⏩ 📟, 🔜 🏭
</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
</a>

import org.codelibs.fess.opensearch.config.exentity.DataConfig;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.index.query.QueryBuilder;

public class DataIndexHelperTest extends UnitFessTestCase {

    private DataIndexHelper dataIndexHelper;

    @Override
    public void setUp() throws Exception {
        super.setUp();

    internal fun redactUrl(url: HttpUrl): String {
      if (queryParamsNameToRedact.isEmpty() || url.querySize == 0) {
        return url.toString()
      }
      return url
        .newBuilder()
        .query(null)
        .apply {
          for (i in 0 until url.querySize) {
            val parameterName = url.queryParameterName(i)

 * Futures.addCallback}.) Still, direct {@code addListener} calls are occasionally useful:
 *
 * {@snippet :
 * final String name = ...;
 * inFlight.add(name);
 * ListenableFuture<Result> future = service.query(name);
 * future.addListener(new Runnable() {
 *   public void run() {
 *     processedCount.incrementAndGet();
 *     inFlight.remove(name);
 *     lastProcessed.set(name);
 *     logger.info("Done with {0}", name);