if (otherProject.isPresent()) {
            throw new GradleException(
                String.format(
                    Locale.ROOT,
                    "Projects %s and %s both claim the %s service defined in the docker-compose.yml of "
                        + "%sThis is not supported because it breaks running in parallel. Configure dedicated "
                        + "services for each project and use those instead.",

 * This API does not try to cover all the requirements out there, just the basic ones, and is intentionally simple.
 * If plugin or extension needs anything more complex feature wise (i.e. HTTP range support or alike) it should
 * probably roll its own.
 * <p>

## 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

	set bool
}

// MarshalXML encodes delete marker boolean into an XML form.
func (b Boolean) MarshalXML(e *xml.Encoder, startElement xml.StartElement) error {
	if !b.set {
		return nil
	}
	return e.EncodeElement(b.val, startElement)
}

// UnmarshalXML decodes delete marker boolean from the XML form.

* **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.

    - Leaked File descriptors ([#275](https://github.com/docker/containerd/issues/275))
    - Additional memory overhead per container ([#21737]((https://github.com/docker/docker/issues/21737))
  * Docker version 1.12.1 [has been validated](https://github.com/kubernetes/kubernetes/issues/28698) through the Kubernetes docker automated validation framework as has Docker version 1.12.3

        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());

     */
    List<String> findVersions(Artifact artifact);

    /**
     * Indicates whether this repository is backed by actual projects. For instance, the build reactor or IDE workspace
     * are examples of such repositories.
     *
     * @return {@code true} if the repository is backed by actual projects, {@code false} otherwise.
     * @since 3.0-beta-1
     */
    boolean isProjectAware();

    /**

    /**
     * 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.
     *

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