## Prerequisites

Configure and install casdoor server by following [Casdoor Server Installation](https://casdoor.org/docs/basic/server-installation).
For a quick installation, docker-compose reference configs are also available on the [Casdoor Try with Docker](https://casdoor.org/docs/basic/try-with-docker).

### Configure Casdoor

- Go to Applications
  - Create or use an existing Casdoor application
  - Edit the application

import jcifs.internal.util.SMBUtil;

/**
 * Represents a byte range for SMB1 locking and unlocking operations.
 *
 * This class encapsulates the information about a byte range that needs
 * to be locked or unlocked, including the process ID, offset, and length.
 *
 * @author mbechler
 */
public class LockingAndXRange implements Encodable, Decodable {

    private final boolean largeFile;
    private int pid;

public class DockerElasticsearchDistributionType implements ElasticsearchDistributionType {

    DockerElasticsearchDistributionType() {}

    @Override
    public String getName() {
        return "docker";
    }

    @Override
    public boolean isDocker() {
        return true;
    }

* **보안 - HTTPS**
* **서버 시작 시 실행**
* ***재시작***
* 복제(실행 중인 프로세스 수)
* **메모리**
* **시작하기 전의 이전 단계**

## 컨테이너와 도커 { #containers-and-docker }

다음 장인 [컨테이너에서의 FastAPI - 도커](docker.md)에서는 다른 **배포 개념들**을 처리하기 위해 사용할 수 있는 몇 가지 전략을 설명하겠습니다.

단일 Uvicorn 프로세스를 실행하기 위해, **처음부터 여러분만의 이미지를 직접 빌드**하는 방법을 보여드리겠습니다. 이는 간단한 과정이며, **Kubernetes** 같은 분산 컨테이너 관리 시스템을 사용할 때 아마도 이렇게 하고 싶을 것입니다.

        assertEquals(ChatIntent.SEARCH, result.getIntent());
        assertEquals("singleKeyword", result.getQuery());
    }

    @Test
    public void test_search_withFessQuery() {
        final String query = "+Fess +Docker (tutorial OR guide)";
        final IntentDetectionResult result = IntentDetectionResult.search(query, "Fess query");

        assertEquals(ChatIntent.SEARCH, result.getIntent());
        assertEquals(query, result.getQuery());

            // forked phase
            if (md.getExecuteLifecycle() != null && !md.getExecuteLifecycle().isEmpty()) {
                buff.append('[');
                buff.append(md.getExecuteLifecycle());
                buff.append(']');
            }
            buff.append(md.getExecutePhase());
        } else {
            // forked goal
            buff.append(':');

    /**
     * Creates a new source backed by the specified file.
     *
     * @param file The file, must not be {@code null}.
     * @deprecated Use {@link #FileSource(Path)} instead.
     */
    @Deprecated
    public FileSource(File file) {
        this(Objects.requireNonNull(file, "file cannot be null").toPath());
    }

    /**
     * Creates a new source backed by the specified file.
     *

				defer wg.Done()

				lk.Lock()
				// Only add lockers only one per endpoint and per erasure set.
				if locker, ok := erasureLockers[endpoint.Host]; ok && !lockerEpSet.Contains(endpoint.Host) {
					lockerEpSet.Add(endpoint.Host)
					s.erasureLockers[i] = append(s.erasureLockers[i], locker)
				}
				lk.Unlock()
			}(i, endpoints.Endpoints[i*setDriveCount+j])
		}
	}
	wg.Wait()

							endpoints[i].Hostname()), endpoints[i].Hostname(), logger.ErrorKind)
					}

					continue
				}

				// return err if not Docker or Kubernetes
				// We use IsDocker() to check for Docker environment
				// We use IsKubernetes() to check for Kubernetes environment
				isLocal, err := isLocalHost(endpoints[i].Hostname(),
					endpoints[i].Port(),
					globalMinioPort,
				)

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML