)
        refresh()
        prepareWorkspace()
      }
  }

  private fun Workspace.prepareWorkspace() {
    val repositoryPlugin = getRepository(REPO_NAME)

    // Deploy the bundles in the deployments test directory.
    repositoryPlugin.deployDirectory(testResourceDir / "deployments")
    repositoryPlugin.deployClassPath()
  }

  private fun createBndRun(workspace: Workspace): Bndrun {

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">🔢 (⚖️ 🔢) 💪 🐍</a> ↩️ ⏬ 3️⃣.4️⃣.

///

/// tip

🚥 👆 💭, "📊", "🎓", &amp; "🍏" 📛 🎰 🏫 <abbr title="Technically, Deep Learning model architectures">🏷</abbr>.

///

### 📣 *➡ 🔢*

⤴️ ✍ *➡ 🔢* ⏮️ 🆎 ✍ ⚙️ 🔢 🎓 👆 ✍ (`ModelName`):

{* ../../docs_src/path_params/tutorial005.py hl[16] *}

### ✅ 🩺

///

/// tip | Tips

"AlxexNet", "ResNet", dan "LeNet" adalah nama <abbr title="Secara teknis, arsitektur model Deep Learning">model</abbr> *Machine Learning*.

///

### Mendeklarasikan *parameter path*

Kemudian buat *parameter path* dengan tipe anotasi menggunakan *class* enum dari (`ModelName`)

    <default>
      <key>package</key>
      <value>org.apache.maven.artifact.repository.metadata</value>
    </default>
  </defaults>
  <classes>
    <class rootElement="true" xml.tagName="metadata" java.clone="deep">
      <name>Metadata</name>
      <version>1.0.0+</version>
      <fields>
        <field xml.attribute="true" xml.tagName="modelVersion">
          <name>modelVersion</name>
          <version>1.1.0+</version>

## Get started

### 1. Prerequisites

Install MinIO - [MinIO Quickstart Guide](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html).

### 2. Run MinIO in federated mode

Bucket lookup from DNS federation requires two dependencies

- etcd (for bucket DNS service records)

Follow below steps to enable and use AlertManager.

## Deploy and start AlertManager
Install Prometheus AlertManager from https://prometheus.io/download/ and create configuration as below

```yaml
route:
  group_by: ['alertname']
  group_wait: 30s
  group_interval: 5m

  dependencies:
    string-width "^4.2.0"
    strip-ansi "^6.0.0"
    wrap-ansi "^7.0.0"

clone-deep@^4.0.1:
  version "4.0.1"
  resolved "https://registry.yarnpkg.com/clone-deep/-/clone-deep-4.0.1.tgz#c19fd9bdbbf85942b4fd979c84dcf7d5f07c2387"
  integrity sha512-neHB9xuzh/wk0dIHweyAXv2aPGZIVk3pLMe+/RNzINf17fe0OG96QroktYAUm7SM1PBnzTabaLboqqxDyMU+SQ==
  dependencies:

///

/// tip | Tipp

Falls Sie sich fragen, was „AlexNet“, „ResNet“ und „LeNet“ ist, das sind Namen von <abbr title="Genau genommen, Deep-Learning-Modellarchitekturen">Modellen</abbr> für maschinelles Lernen.

///

### Deklarieren Sie einen *Pfad-Parameter*

		Recursive: true,                  // recursively heal all objects at 'prefix'
		Remove:    true,                  // remove content that has lost quorum and not recoverable
		ScanMode:  madmin.HealNormalScan, // by default do not do 'deep' scanning
	}

	start, _, err := madmClnt.Heal(context.Background(), "healing-rewrite-bucket", "", opts, "", false, false)
	if err != nil {
		log.Fatalln(err)
	}
	fmt.Println("Healstart sequence ===")

			entry:    "src/dir/",
			dir:      "src/",
			sep:      slashSeparator,
			want:     true,
		},
		{
			testName: "deeper-file",
			entry:    "src/dir/somewhere.ext",
			dir:      "src/",
			sep:      slashSeparator,
			want:     false,
		},
		{
			testName: "deeper-dir",
			entry:    "src/dir/somewhere/",
			dir:      "src/",
			sep:      slashSeparator,
			want:     false,
		},
		{