# This Dockerfile creates an image that has:
# - the correct MTU setting for networking from inside the container to work.
# - Visual Studio 2022 Build Tools
# - MSVC 14.39
# - LLVM/Clang 18.1.4
# - MSYS2 + curl, git, patch, vim, unzip, zip
# - Python 3.9 - 3.13
# - Bazelisk 1.22.1
# - JDK 21 (Azul Zulu)

FROM mcr.microsoft.com/windows/servercore:ltsc2022

SHELL ["powershell.exe", "-ExecutionPolicy", "Bypass", "-Command", \

8Q,GAEf,OAAbD,EACGC,GAASC,EAAOtR,OAAQqR,EAAMpO,UAAaoO,EAEjC,OAAbD,GAEkB,GADb,IAAME,EAAOvL,QAASoE,EAAa,KAAQ,KAClD5J,QAAS8Q,GAEM,OAAbD,IACGE,IAAWD,GAASC,EAAOtR,MAAO,EAAGqR,EAAMpO,OAAS,KAAQoO,EAAQ,QAO9EtG,MAAO,SAAU1J,EAAMkQ,EAAMC,EAAWnN,EAAOE,GAC9C,IAAIkN,EAAgC,QAAvBpQ,EAAKrB,MAAO,EAAG,GAC3B0R,EAA+B,SAArBrQ,EAAKrB,OAAQ,GACvB2R,EAAkB,YAATJ,EAEV,OAAiB,IAAVlN,GAAwB,IAATE,EAGrB,SAAUpB,GACT,QAASA,EAAKb,YAGf,SAAUa,EAAMyO,EAAUC,GACzB,IAAI/D,EAAOgE,EAAYnQ,EAAMoQ,EAAWC,EACvC9F,EAAMuF,IAAWC,EAAU,cAAgB,kBAC3C...

---

Exemplos comuns de operações limitadas por CPU são coisas que exigem processamento matemático complexo.

Por exemplo:

* **Processamento de áudio** ou **imagem**
* **Visão Computacional**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores / cores, processar isso normalmente exige alguma computação em todos esses pixels ao mesmo tempo

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.
* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.

    }

    public void test_getImagePath() {
        Path imagePath = ResourceUtil.getImagePath("logo.png");
        assertNotNull(imagePath);
        assertTrue(imagePath.toString().contains("images"));
    }

    public void test_getCssPath() {
        Path cssPath = ResourceUtil.getCssPath("style.css");
        assertNotNull(cssPath);
        assertTrue(cssPath.toString().contains("css"));
    }

### `UploadFile`

`UploadFile` 은 다음과 같은 어트리뷰트가 있습니다:

* `filename` : 문자열(`str`)로 된 업로드된 파일의 파일명입니다 (예: `myimage.jpg`).
* `content_type` : 문자열(`str`)로 된 파일 형식(MIME type / media type)입니다 (예: `image/jpeg`).

gradlew.bat                             @gradle/bt-developer-productivity
gradle.properties                       @gradle/bt-developer-productivity
gradle/detekt.yml                       @gradle/bt-developer-productivity
.mailmap
images/
.github/ISSUE_TEMPLATE                  @gradle/bt-product-operations
LICENSE                                 @gradle/bt-product-operations

![Interceptors Diagram](../assets/images/******@****.***)

### Application Interceptors

Interceptors are registered as either _application_ or _network_ interceptors. We'll use the `LoggingInterceptor` defined above to show the difference.

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

Pour plus de détails, consultez le [guide d'installation](https://fess.codelibs.org/14.17/install/index.html).

### Docker

Nous fournissons des images Docker sur [ghcr.io](https://github.com/orgs/codelibs/packages). Nous fournissons également un fichier Docker Compose (YAML) dans [ce dépôt](https://github.com/codelibs/docker-fess/tree/master/compose). 

### Interface Web

					<div class="me-3">
						<a class="link d-none d-sm-flex" href="${doc.url_link}" data-uri="${doc.url_link}" data-id="${doc.doc_id}"
							data-order="${s.index}"
						> <img src="${fe:url('/images/blank.png')}" alt="thumbnail"
							data-src="${fe:url('/thumbnail/')}?docId=${f:u(doc.doc_id)}&queryId=${f:u(queryId)}" class="thumbnail"
						>
						</a>
					</div>
					</c:if>