**How can I migrate?**
  
  For backward compatibility, nil `QueueingHintFn` is treated as always returning QueueAfterBackoff. 
  So, if you want to just keep the existing behavior, you can register `ClusterEventWithHint` with no `QueueingHintFn` in it. 

    ]]>
  </description>
  <defaults>
    <default>
      <key>package</key>
      <value>org.apache.maven.settings</value>
    </default>
  </defaults>
  <classes>
    <class java.clone="deep">
      <name>TrackableBase</name>
      <version>1.0.0+</version>
      <description>
        Common base class that contains code to track the source for this instance.
      </description>
      <codeSegments>

<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`):

```Python hl_lines="16"
{!../../docs_src/path_params/tutorial005.py!}
```

func (a AccElem) asTimedAction() madmin.TimedAction {
	return madmin.TimedAction{AccTime: uint64(a.Total), Count: uint64(a.N), Bytes: uint64(a.Size)}
}

// lastMinuteLatency keeps track of last minute latency.
type lastMinuteLatency struct {
	Totals  [60]AccElem
	LastSec int64
}

// Merge data of two lastMinuteLatency structure

		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 ===")

client = TestClient(app)


def test_get_enums_alexnet():
    response = client.get("/models/alexnet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "alexnet", "message": "Deep Learning FTW!"}


def test_get_enums_lenet():
    response = client.get("/models/lenet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "lenet", "message": "LeCNN all the images"}

itv

// jaguar : 2014-11-13 Jaguar Land Rover Ltd
jaguar

// java : 2014-06-19 Oracle Corporation
java

// jcb : 2014-11-20 JCB Co., Ltd.
jcb

// jeep : 2015-07-30 FCA US LLC.
jeep

// jetzt : 2014-01-09 Binky Moon, LLC
jetzt

// jewelry : 2015-03-05 Binky Moon, LLC
jewelry

// jio : 2015-04-02 Reliance Industries Limited
jio

        A proposal that works through the design along with the implications of the change can be opened as a KEP.
        See https://git.k8s.io/enhancements/keps#kubernetes-enhancement-proposals-keps
    validations:
      required: true

  - type: textarea
    id: rationale
    attributes:
      label: Why is this needed?

///

/// 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*

    expectAdded(e0());
  }

  @CollectionFeature.Require(absent = SUPPORTS_ADD)
  @CollectionSize.Require(absent = ZERO)
  /*
   * absent = ZERO isn't required, since unmodList.add() must
   * throw regardless, but it keeps the method name accurate.
   */
  public void testAdd_unsupportedPresent() {
    assertThrows(UnsupportedOperationException.class, () -> getList().add(e0()));
  }