Chart](https://github.com/minio/operator/tree/master/helm) that is officially maintained and supported. MinIO strongly recommends using the MinIO Kubernetes Operator for production deployments. See [Deploy Operator With Helm](https://min.io/docs/minio/kubernetes/upstream/operations/install-deploy-manage/deploy-operator-helm.html?ref=github) for additional documentation. | ## Introduction This chart bootstraps MinIO Cluster on [Kubernetes](http://kubernetes.io) using the [Helm](https://helm.sh) package...

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

İstemci tarafında şuna benzer bir JSON yanıtı ile karşılaşırsınız:

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

## Yol İçeren Yol Parametreleri

Farz edelim ki elinizde `/files/{file_path}` isminde bir *yol operasyonu* var.

      return;
    } finally {
      function = null;
    }

    /*
     * If set()/setValue() throws an Error, we let it propagate. Why? The most likely Error is a
     * StackOverflowError (from deep transform(..., directExecutor()) nesting), and calling
     * setException(stackOverflowError) would fail:
     *
     * - If the stack overflowed before set()/setValue() could even store the result in the output

    ]]></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>

Sie können dem automatisch generierten Schema also zusätzliche Daten hinzufügen.

///

/// 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] *}

	}
	if len(srvRecords) == 0 {
		return nil, ErrNoEntriesFound
	}
	return srvRecords, nil
}

// Retrieves list of entries under the key passed.
// Note that this method fetches entries upto only two levels deep.
func (c *CoreDNS) list(key string, domain bool) ([]SrvRecord, error) {
	ctx, cancel := context.WithTimeout(context.Background(), defaultContextTimeout)
	r, err := c.etcdClient.Get(ctx, key, clientv3.WithPrefix())

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

Le client recevra une réponse JSON comme celle-ci :

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

## Paramètres de chemin contenant des chemins

Disons que vous avez une *fonction de chemin* liée au chemin `/files/{file_path}`.

	// by the Content-Type header field.
	ContentEncoding string

	// Date and time at which the object is no longer able to be cached
	Expires time.Time

	// Cache-Control - Specifies caching behavior along the request/reply chain
	CacheControl string

	// Specify object storage class
	StorageClass string

	ReplicationStatusInternal string
	ReplicationStatus         replication.StatusType
	// User-Defined metadata

            switch (phase) {
                case "clean":
                    packaged = false;
                    break;
                case "package":
                case "install":
                case "deploy":
                    packaged = true;
                    break;
                default:
                    break;
            }
        }
        return packaged;
    }