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# the line below contains an IDEOGRAPHIC SPACE character (Used as a space in Chinese)
　

# English Stop Words

      "arabic_stop": {
        "type":       "stop",
        "stopwords":  "_arabic_"
      },
      "arabic_keywords": {
        "type":       "keyword_marker",
        "keywords": ["ﻡﺮﺤﺑﺍﺍ", "ﻉﺎﻠﻣ", "ﺐﺤﺛ"]
      },
      "arabic_stemmer": {
        "type":       "stemmer",
        "language":   "arabic"
      },
      "bulgarian_stop": {
        "type":       "stop",
        "stopwords":  "_bulgarian_"

        "type":       "stop",
        "stopwords":  "_czech_"
      },
      "czech_keywords": {
        "type":       "keyword_marker",
        "keywords_path": "${fess.dictionary.path}cs/protwords.txt"
      },
      "czech_stemmer": {
        "type":       "stemmer",
        "language":   "czech"
      },
      "danish_stop": {
        "type":       "stop",
        "stopwords":  "_danish_"

Das steht im Gegensatz zu den **Entwicklungsphasen**, in denen Sie ständig den Code ändern, kaputt machen, reparieren, den Entwicklungsserver stoppen und neu starten, usw.

## Deployment-Strategien { #deployment-strategies }

Es gibt mehrere Möglichkeiten, dies zu tun, abhängig von Ihrem spezifischen Anwendungsfall und den von Ihnen verwendeten Tools.

docker volume prune -f || true
docker volume rm $(docker volume ls -q -f dangling=true) || true

# Stop two nodes, one of each pool, to check that all S3 calls work while quorum is still there
[ "${MODE}" == "pools" ] && docker-compose -f minio-${MODE}.yaml stop minio2
[ "${MODE}" == "pools" ] && docker-compose -f minio-${MODE}.yaml stop minio6

# Pause one node, to check that all S3 calls work while one node goes wrong

    // stop it.
    blockingCallable.waitForStart();

    // Give the second task a chance to (incorrectly) start up while the first task is running.
    assertThat(future2.isDone()).isFalse();

    // Stop the first task. The second task should then run.
    blockingCallable.stop();
    executor.shutdown();

   * to stop requests. You could poll for lifecycle changes in a work loop:
   *
   * <pre>
   *   public void run() {
   *     while ({@link #isRunning()}) {
   *       // perform a unit of work
   *     }
   *   }
   * </pre>
   *
   * <p>...or you could respond to stop requests by implementing {@link #triggerShutdown()}, which

        }

        try {
            dataIndexHelper.crawl("test-session-force-stop");
            assertTrue("Should exit quickly when force stopped", true);
        } catch (Exception e) {
            assertTrue("Force stop should handle exceptions quickly", true);
        }
    }

    @Test
    public void test_crawl_with_short_intervals() {
        try {

Es ist jedoch nicht möglich, einen laufenden Container, ohne **mindestens einen laufenden Prozess** zu haben. Wenn der Hauptprozess stoppt, stoppt der Container.

## Ein Docker-Image für FastAPI erstellen { #build-a-docker-image-for-fastapi }

Okay, wollen wir jetzt etwas bauen! 🚀

package org.codelibs.fess.app.web.api.admin.dict.stopwords;

import org.codelibs.fess.app.web.admin.dict.stopwords.DownloadForm;

/**
 * Download body for stop words dictionary API operations.
 * This class extends the DownloadForm to provide request body handling
 * for downloading stop words dictionaries via REST API.
 *
 */
public class DownloadBody extends DownloadForm {

    /**
     * Default constructor.
     */