* 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(

따라서, 아래는 모두 상이한 출처입니다:

* `http://localhost`
* `https://localhost`
* `http://localhost:8080`

모두 `localhost`에 있더라도, 서로 다른 프로토콜이나 포트를 사용하므로 서로 다른 "출처"입니다.

## 단계 { #steps }

그러면 브라우저에서 `http://localhost:8080`으로 실행되는 프론트엔드가 있고, 그 JavaScript가 `http://localhost`에서 실행되는 백엔드와 통신하려고 한다고 해봅시다(포트를 명시하지 않았기 때문에, 브라우저는 기본 포트 `80`을 가정합니다).

                // session setup complete

                request.setSessionId(sessId);
                request.retainPayload();

                try {
                    response = trans.send(request, null, EnumSet.of(RequestParam.RETAIN_PAYLOAD));
                    sessId = response.getSessionId();
                } catch (SmbAuthException sae) {
                    throw sae;

  }

  public void testPeekingIteratorBehavesLikeIteratorOnSingletonIterable() {
    actsLikeIteratorHelper(singletonList(new Object()));
  }

  // TODO(cpovirk): instead of skipping, use a smaller number of steps
  @GwtIncompatible // works but takes 5 minutes to run
  public void testPeekingIteratorBehavesLikeIteratorOnThreeElementIterable() {
    actsLikeIteratorHelper(Lists.newArrayList("A", "B", "C"));
  }

     * #COMPLETED}, {@link #CANCELLED}, or {@link #INTERRUPTED}
     *
     * <p>To avoid races between threads doing release and acquire, we transition to the final state
     * in two steps. One thread will successfully CAS from RUNNING to COMPLETING, that thread will
     * then set the result of the computation, and only then transition to COMPLETED, CANCELLED, or
     * INTERRUPTED.
     *

因此，以下皆是不同的來源：

* `http://localhost`
* `https://localhost`
* `http://localhost:8080`

即使它們都在 `localhost`，但使用了不同的通訊協定或連接埠，所以它們是不同的「來源」。

## 步驟 { #steps }

假設你的前端在瀏覽器中執行於 `http://localhost:8080`，其 JavaScript 嘗試與執行在 `http://localhost` 的後端通訊（因為未指定連接埠，瀏覽器會假設預設連接埠為 `80`）。

## Prerequisites

To get started with MinIO, refer [MinIO QuickStart Document](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html).
Follow below steps to get started with MinIO monitoring using Prometheus.

### 1. Download Prometheus

[Download the latest release](https://prometheus.io/download) of Prometheus for your platform, then extract it

```sh

  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code
      uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
    - name: Update the RBE Configs
      run: |
        function map() {

                                                             TF_DeleteGraph);

  TF_SessionOptions* opts = TF_NewSessionOptions();
  TF_Session* sess = TF_NewSession(graph.get(), opts, s);
  TF_DeleteSessionOptions(opts);

  const std::string gpu_device_name = GPUDeviceName(sess);
  TF_DeleteSession(sess, s);
  CHECK_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  return gpu_device_name;
}

* Разделять соединения с базой данных.
* Обеспечить безопасность, аутентификацию, требования к ролям и т.п.
* И многое другое...

Всё это при минимизации повторения кода.

## Первые шаги { #first-steps }

Давайте рассмотрим очень простой пример. Он настолько простой, что пока не очень полезен.

Но так мы сможем сосредоточиться на том, как работает система **Dependency Injection**.