name: "Conflict detector"
on:
  push:
  pull_request_target:
    types: [synchronize]

jobs:
  main:
    permissions:
      contents: read
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      - name: Check if PRs have merge conflicts
        uses: eps1lon/actions-label-merge-conflict@v3
        with:
          dirtyLabel: "conflicts"
          repoToken: "${{ secrets.GITHUB_TOKEN }}"

```

</div>

<details markdown="1">
<summary>Nipa aṣẹ kóòdù náà <code>uvicorn main:app --reload</code>...</summary>

Àṣẹ `uvicorn main:app` ń tọ́ka sí:

* `main`: fáìlì náà 'main.py' (Python "module").
* `app` jẹ object( i.e. nǹkan) tí a ṣẹ̀dá nínú `main.py` pẹ̀lú ilà `app = FastAPI()`.

```

</div>

<details markdown="1">
<summary>درباره دستور <code>uvicorn main:app --reload</code>...</summary>

دستور `uvicorn main:app` شامل موارد زیر است:

* `main`: فایل `main.py` (ماژول پایتون ایجاد شده).
* `app`: شیء ایجاد شده در فایل `main.py` در خط `app = FastAPI()`.
* `--reload`: ریستارت کردن سرور با تغییر کد. تنها در هنگام توسعه از این گزینه استفاده شود..

</details>

### بررسی کنید

 * an existing external tool is required.
 *
 * See https://stackoverflow.com/questions/61929216/how-to-log-tlsv1-3-keys-in-jsse-for-wireshark-to-decode-traffic
 *
 * Steps to run in your own code
 *
 * 1. In your main method `WireSharkListenerFactory.register()`
 * 2. Create Listener factory `val eventListenerFactory = WireSharkListenerFactory(
logFile = File("/tmp/key.log"), tlsVersions = tlsVersions, launch = launch)`

 * href="https://github.com/google/guava/wiki/ListenableFutureExplained">{@code
 * ListenableFuture}</a>.
 *
 * <p>This class is GWT-compatible.
 *
 * <h3>Purpose</h3>
 *
 * <p>The main purpose of {@code ListenableFuture} is to help you chain together a graph of
 * asynchronous operations. You can chain them together manually with calls to methods like {@link

 * href="https://github.com/google/guava/wiki/ListenableFutureExplained">{@code
 * ListenableFuture}</a>.
 *
 * <p>This class is GWT-compatible.
 *
 * <h3>Purpose</h3>
 *
 * <p>The main purpose of {@code ListenableFuture} is to help you chain together a graph of
 * asynchronous operations. You can chain them together manually with calls to methods like {@link

      ).createRequest()
    assertThat(request.header("If-Modified-Since")).isEqualTo(
      "Mon, 18 Aug 2014 15:16:06 GMT",
    )
  }

  companion object {
    fun fromArgs(vararg args: String): Main =
      Main().apply {
        parse(args.toList())
      }

    private fun bodyAsString(body: RequestBody?): String =
      try {
        val buffer = Buffer()
        body!!.writeTo(buffer)

follow JLine's directory and filename conventions.

[1] https://github.com/jline/jline3/tree/master/native

다음과 같이 표시됩니다.

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

---

Pycharm을 사용하는 경우 다음을 수행할 수 있습니다

* "Run" 메뉴를 엽니다
* "Debug..." 옵션을 선택합니다.
* 그러면 상황에 맞는 메뉴가 나타납니다.
* 디버그할 파일을 선택합니다(이 경우 `main.py`).

그런 다음 **FastAPI** 코드로 서버를 시작하고 중단점 등에서 중지합니다.

다음과 같이 표시됩니다.

        JvmInfo.jvmInfo();
    }

    /**
     * Main entry point for the crawler application.
     * Parses command-line arguments, initializes the application container,
     * sets up monitoring, and executes the crawling process.
     *
     * @param args command-line arguments as defined in the Options class
     */
    public static void main(final String[] args) {
        final Options options = new Options();