---
- job:
    name: "elastic+elasticsearch+pull-request+full-bwc"
    display-name: "elastic / elasticsearch - pull request full-bwc"
    description: "Testing of Elasticsearch pull requests - full-bwc"
    project-type: matrix
    node: master
    child-workspace: "/dev/shm/elastic+elasticsearch+pull-request+full-bwc"
    scm:
      - git:
          refspec: "+refs/pull/${ghprbPullId}/*:refs/remotes/origin/pr/${ghprbPullId}/*"
          branches:

		{"ChecksumSHA1-full-object", ChecksumSHA1, true, true},     // SHA1 does not support full object
		{"ChecksumSHA256-full-object", ChecksumSHA256, true, true}, // SHA256 does not support full object
	}
	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			// Skip invalid cases where SHA1 or SHA256 is used with full object
			if (tt.checksum.Is(ChecksumSHA1) || tt.checksum.Is(ChecksumSHA256)) && tt.fullobj {

# Full Stack FastAPI 템플릿 { #full-stack-fastapi-template }

템플릿은 일반적으로 특정 설정과 함께 제공되지만, 유연하고 커스터마이징이 가능하게 디자인 되었습니다. 이 특성들은 여러분이 프로젝트의 요구사항에 맞춰 수정, 적용을 할 수 있게 해주고, 템플릿이 완벽한 시작점이 되게 해줍니다. 🏁

많은 초기 설정, 보안, 데이터베이스 및 일부 API 엔드포인트가 이미 준비되어 있으므로, 여러분은 이 템플릿을 시작하는 데 사용할 수 있습니다.

GitHub 저장소: [Full Stack FastAPI 템플릿](https://github.com/tiangolo/full-stack-fastapi-template)

## Full Stack FastAPI 템플릿 - 기술 스택과 기능들 { #full-stack-fastapi-template-technology-stack-and-features }

# Full Stack FastAPI Template { #full-stack-fastapi-template }

Templates, while typically come with a specific setup, are designed to be flexible and customizable. This allows you to modify and adapt them to your project's requirements, making them an excellent starting point. 🏁

You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you.

 * attempting to add new elements onto the queue and it is full. This queue orders elements FIFO
 * (first-in-first-out). This data structure is logically equivalent to a circular buffer (i.e.,
 * cyclic buffer or ring buffer).
 *
 * <p>An evicting queue must be configured with a maximum size. Each time an element is added to a
 * full queue, the queue automatically removes its head element. This is different from conventional

            @Override
            public Set<String> getApiPingEsFieldSet() {
                return new HashSet<>();
            }
        };
        ComponentUtil.register(mockConfig, "fessConfig");

        // Note: Full testing requires a running OpenSearch cluster
        // These tests verify the PingResponse class structure is correct
        assertTrue(true);
    }

    @Test
    public void test_getClusterName_returnsCorrectValue() {

     */
    String getDomain();

    /**
     * Gets the full UNC path.
     *
     * @return the full UNC path
     */
    String getFullUNCPath();

    /**
     * Sets the path to the resource.
     *
     * @param path the path to set
     */
    void setPath(String path);

    /**
     * Sets the full UNC path components.
     *
     * @param domain the domain name

# Full Stack FastAPI テンプレート { #full-stack-fastapi-template }

テンプレートは通常、特定のセットアップが含まれていますが、柔軟でカスタマイズできるように設計されています。これにより、プロジェクトの要件に合わせて変更・適応でき、優れた出発点になります。🏁

このテンプレートを使って開始できます。初期セットアップ、セキュリティ、データベース、いくつかのAPIエンドポイントがすでに用意されています。

GitHubリポジトリ: [Full Stack FastAPI Template](https://github.com/tiangolo/full-stack-fastapi-template)

## Full Stack FastAPI テンプレート - 技術スタックと機能 { #full-stack-fastapi-template-technology-stack-and-features }

 * attempting to add new elements onto the queue and it is full. This queue orders elements FIFO
 * (first-in-first-out). This data structure is logically equivalent to a circular buffer (i.e.,
 * cyclic buffer or ring buffer).
 *
 * <p>An evicting queue must be configured with a maximum size. Each time an element is added to a
 * full queue, the queue automatically removes its head element. This is different from conventional

* mount (verb): монтировать
* mount (noun): точка монтирования / mount (keep in English if it's a FastAPI keyword)
* plugin: плагин
* plug-in: плагин
* full stack: full stack (do not translate)
* full-stack: full-stack (do not translate)
* loop (as in async loop): цикл событий
* Machine Learning: Машинное обучение
* Deep Learning: Глубокое обучение