]]></description>

  <defaults>
    <default>
      <key>package</key>
      <value>org.apache.maven.toolchain.model</value>
    </default>
  </defaults>

  <classes>
    <class java.clone="deep">
      <name>TrackableBase</name>
      <version>1.1.0+</version>
      <description>
        Common base class that contains code to track the source for this instance.
      </description>
      <codeSegments>

* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande planilha com números e em multiplicar todos eles juntos e ao mesmo tempo.

///

/// tip | 豆知識

"AlexNet"、"ResNet"そして"LeNet"は機械学習<abbr title="Technically, Deep Learning model architectures">モデル</abbr>の名前です。

///

### *パスパラメータ*の宣言

次に、作成したenumクラスである`ModelName`を使用した型アノテーションをもつ*パスパラメータ*を作成します:

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

	return fmt.Sprintf("ReplicationLastMinute sz= %d, n=%d , dur=%d", t.Size, t.N, t.Total)
}

func (rl *ReplicationLastMinute) getTotal() AccElem {
	return rl.LastMinute.getTotal()
}

// ReplicationLastHour keeps track of replication counts over the last hour
type ReplicationLastHour struct {
	Totals  [60]AccElem
	LastMin int64
}

// Merge data of two ReplicationLastHour structure

        // This is complex due to the class structure. A better approach would be
        // to refactor SmbFile to be more testable (e.g., dependency injection).
        // For now, we test methods that don't require deep mocks.
        return new SmbFile(url, auth);
    }

클라이언트에 반환하기 전에 해당 값(이 경우 문자열)으로 변환됩니다:

{* ../../docs_src/path_params/tutorial005.py hl[18,21,23] *}

클라이언트는 아래의 JSON 응답을 얻습니다:

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## 경로를 포함하는 경로 매개변수

경로를 포함하는 *경로 작동* `/files/{file_path}`이 있다고 해봅시다.

그런데 이 경우 `file_path` 자체가 `home/johndoe/myfile.txt`와 같은 경로를 포함해야 합니다.

                "'\\server\\share\\path', 'server', 'share', 'path'",
                "'\\server\\share\\path\\file.txt', 'server', 'share', 'path\\file.txt'",
                "'\\server.domain.com\\share\\deep\\path\\structure', 'server.domain.com', 'share', 'deep\\path\\structure'" })
        @DisplayName("Should split DFS paths correctly")
        void testDfsPathSplit(String node, String expectedServer, String expectedShare, String expectedPath) {

    * --alpha-endpoint-reconciler-type=(master-count, lease, none) (default
    * "master-count"). The original reconciler is 'master-count'. The 'lease'
    * reconciler uses the storageapi and a TTL to keep alive an endpoint within the
    * `kube-apiserver-endpoint` storage namespace. The 'none' reconciler is a noop
    * reconciler that does not do anything. This is useful for self-hosted
    * environments.

 * }
 *
 * <p>Even if your non-test code does not use finalization, you can use this class to test for
 * leaks, by ensuring that objects are no longer strongly referenced:
 *
 * {@snippet :
 * // Helper function keeps victim stack-unreachable.
 * private WeakReference<Foo> fooWeakRef() {
 *   Foo x = ....;
 *   WeakReference<Foo> weakRef = new WeakReference<>(x);
 *   // ... use x ...

  }

  /**
   * Regression test for an edge case where closing response body in the HTTP engine doesn't release
   * the corresponding stream allocation. This test keeps those response bodies alive and reads
   * them after the redirect has completed. This forces a connection to not be reused where it would
   * be otherwise.
   *
   *