*
 * ```java
 * HttpUrl url = HttpUrl.parse("https://twitter.com/search?q=cute%20%23puppies&f=images");
 * for (int i = 0, size = url.querySize(); i < size; i++) {
 *   System.out.println(url.queryParameterName(i) + ": " + url.queryParameterValue(i));
 * }
 * ```
 *
 * which prints:
 *
 * ```
 * q: cute #puppies
 * f: images
 * ```
 *

### Docker

We provide Docker images on [ghcr.io](https://github.com/orgs/codelibs/packages). We also provide a Docker Compose (YAML) file in [this repository](https://github.com/codelibs/docker-fess/tree/master/compose). 

### Browser UI

- Search UI: http://localhost:8080/

![Search UI](https://fess.codelibs.org/_images/fess_search_result1.png)

searchlog.process.batch_size=100

# Minimum width for HTML images in thumbnails.
thumbnail.html.image.min.width=100
# Minimum height for HTML images in thumbnails.
thumbnail.html.image.min.height=100
# Maximum aspect ratio for HTML images in thumbnails.
thumbnail.html.image.max.aspect.ratio=3.0
# Width of generated thumbnail images.
thumbnail.html.image.thumbnail.width=100
# Height of generated thumbnail images.

* It uses a "spooled" file:
    * A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.
* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.
* It has a [file-like](https://docs.python.org/3/glossary.html#term-file-like-object) `async` interface.

  pyenv install -s "$TFCI_PYTHON_VERSION"
  pyenv local "$TFCI_PYTHON_VERSION"
  # Do a sanity check to make sure that we using the correct Python version
  python --version
fi

# TFCI Mac VM images do not have twine installed by default so we need to
# install it manually. We use Twine in nightly builds to upload Python packages
# to PyPI.
if [[ "$TFCI_MACOS_TWINE_INSTALL_ENABLE" == 1 ]]; then
  pip install twine==3.6.0

import jakarta.servlet.ServletContext;

/**
 * Job class for generating thumbnails for documents in the search engine.
 * This job executes the ThumbnailGenerator process as a separate JVM process
 * to create thumbnail images for supported document types.
 */
public class GenerateThumbnailJob extends ExecJob {
    /** Logger for this class. */
    static final Logger logger = LogManager.getLogger(GenerateThumbnailJob.class);

					</la:link>
				</div>
			</div>
		</div>
		<main class="container">
			<div class="row">
				<div class="col text-center searchFormBox">
					<h1 class="mainLogo">
						<img src="${fe:url('/images/logo.png')}"
							alt="<la:message key="labels.index_title" />" />
					</h1>
					<div class="notification">${notification}</div>
					<div>
						<la:info id="msg" message="true">

    }

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

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

Unfortunately it crashes on OkHttp 4.x’s bytecode. Until [Google’s bug][advanced_profiling_bug] is
fixed you must disable advanced profiling in Android Studio.

![Disable Advanced Profiling](../assets/images/******@****.***)


R8 / ProGuard
-------------

R8 and ProGuard are both code optimizers for `.class` files.

- Build/lib/release: Explicitly use '--platform' in building server images
  
  When we switched to go-runner for building the apiserver,
  controller-manager, and scheduler server components, we no longer
  reference the individual architectures in the image names, specifically
  in the 'FROM' directive of the server image Dockerfiles.
  
  As a result, server images for non-amd64 images copy in the go-runner