# Bucket Versioning Design Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

## Description of `xl.meta`

`xl.meta` is a new self describing backend format used by MinIO to support AWS S3 compatible versioning.
This file is the source of truth for each `version` at rest. `xl.meta` is a msgpack file serialized from a

  go mod tidy
  cd ..
fi

# SqlServer for Mac M1
if [[ -z $GITHUB_ACTION && -d tests ]]; then
  cd tests
  if [[ $(uname -a) == *" arm64" ]]; then
    MSSQL_IMAGE=mcr.microsoft.com/azure-sql-edge docker compose up -d --wait
    go install github.com/microsoft/go-sqlcmd/cmd/sqlcmd@latest || true
    for query in \
      "IF DB_ID('gorm') IS NULL CREATE DATABASE gorm" \

# MinIO Deployment Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

ics-vidhya/deploy-machine-learning-models-with-keras-fastapi-redis-and-docker-4940df614ece title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker - author: Mandy Gu author_link: https://towardsdatascience.com/@mandygu link: https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a title: 'Towards Data Science: Deploying Iris Classifications with FastAPI and Docker' - author: Michael Herman author_link: https://testdriven.io/authors/herman...

/// tip | Consejo

No te preocupes si algunos de estos elementos sobre **contenedores**, Docker, o Kubernetes no tienen mucho sentido todavía.

Te contaré más sobre imágenes de contenedores, Docker, Kubernetes, etc. en un capítulo futuro: [FastAPI en Contenedores - Docker](docker.md){.internal-link target=_blank}.

///

## Pasos Previos Antes de Iniciar

    @Mock
    private Principal mockPrincipal;

    private NtlmHttpServletRequest ntlmRequest;

    @BeforeEach
    void setUp() {
        // Create a new NtlmHttpServletRequest with mocked dependencies before each test
        ntlmRequest = new NtlmHttpServletRequest(mockRequest, mockPrincipal);
    }

    /**
     * Test method for {@link NtlmHttpServletRequest#getRemoteUser()}.

 * The interface has no instance methods, so the tests focus on
 * value correctness and array integrity.  A tiny Mockito example
 * demonstrates that the interface can be mocked if another class
 * depends on it.
 */
public class WinErrorTest {

    @Nested
    @DisplayName("Constant value checks")
    class ConstantValues {
        @Test
        void successIsZero() {

    $ cd fess-14.17.x
    $ ./bin/fess

詳細については、[インストールガイド](https://fess.codelibs.org/14.17/install/index.html)を参照してください。

### Docker

[ghcr.io](https://github.com/orgs/codelibs/packages)にDockerイメージを提供しています。また、このリポジトリにはDocker Compose（YAML）ファイルも用意されています。[こちらのリポジトリ](https://github.com/codelibs/docker-fess/tree/master/compose)で確認できます。

### ブラウザUI

- 検索UI: http://localhost:8080/

    - 🧪 E2E 테스트를 위한 [Playwright](https://playwright.dev).
    - 🦇 다크 모드 지원.
- 🐋 [Docker Compose](https://www.docker.com): 개발 환경과 프로덕션(운영).
- 🔒 기본으로 지원되는 안전한 비밀번호 해싱.
- 🔑 JWT 토큰 인증.
- 📫 이메일 기반 비밀번호 복구.
- ✅ [Pytest]를 이용한 테스트(https://pytest.org).
- 📞 [Traefik](https://traefik.io): 리버스 프록시 / 로드 밸런서.
- 🚢 Docker Compose를 이용한 배포 지침: 자동 HTTPS 인증서를 처리하기 위한 프론트엔드 Traefik 프록시 설정 방법을 포함.

 * The tests verify that:
 * <ul>
 *   <li>encoding and decoding round‑trip correctly handle typical, zero,
 *       and extreme {@code long} values.</li>
 *   <li>encode/decode methods interact correctly with a mocked
 *       {@link NdrBuffer} so that the correct method is called with
 *       the correct argument.</li>
 *   <li>passing {@code null} throws {@link NullPointerException}.
 * </ul>
 *