"jeden", "jeder", "jedes", "jene", "jenem", "jenen", "jener", "jenes", "jetzt", "kann", "kein", "keine", "keinem", "keinen", "keiner", "keines", "können", "könnte", "machen", "man", "manche", "manchem", "manchen", "mancher", "manches", "mein", "meine", "meinem", "meinen", "meiner", "meines", "mit", "muss", "musste", "nach", "nicht", "nichts", "noch", "nun", "nur", "ob", "oder", "ohne", "sehr", "sein", "seine", "seinem", "seinen", "seiner", "seines", "selbst", "sich", "sie", "ihnen", "sind", "so", "solche",...

"jeden", "jeder", "jedes", "jene", "jenem", "jenen", "jener", "jenes", "jetzt", "kann", "kein", "keine", "keinem", "keinen", "keiner", "keines", "können", "könnte", "machen", "man", "manche", "manchem", "manchen", "mancher", "manches", "mein", "meine", "meinem", "meinen", "meiner", "meines", "mit", "muss", "musste", "nach", "nicht", "nichts", "noch", "nun", "nur", "ob", "oder", "ohne", "sehr", "sein", "seine", "seinem", "seinen", "seiner", "seines", "selbst", "sich", "sie", "ihnen", "sind", "so", "solche",...

errors.failed_to_start_job = Fehler beim Starten eines Jobs: {0}.
errors.failed_to_stop_job = Fehler beim Stoppen eines Jobs: {0}.
errors.failed_to_download_synonym_file = Fehler beim Herunterladen einer Synonymdatei.
errors.failed_to_upload_synonym_file = Fehler beim Hochladen einer Synonymdatei.
errors.failed_to_download_stemmeroverride_file = Fehler beim Herunterladen einer Stemmer-Override-Datei.

Fess basiert auf [OpenSearch](https://github.com/opensearch-project/OpenSearch), aber es ist kein Wissen oder Erfahrung mit OpenSearch erforderlich. Fess bietet eine einfach zu bedienende Administrations-GUI zur Konfiguration des Systems über Ihren Browser.

labels.facet_label_title=Label
labels.facet_timestamp_title=Zeit
labels.facet_timestamp_1day=Innerhalb von 24 Stunden
labels.facet_timestamp_1week=Innerhalb einer Woche
labels.facet_timestamp_1month=Innerhalb eines Monats
labels.facet_timestamp_1year=Innerhalb eines Jahres
labels.facet_timestamp_3month=Innerhalb von 3 Monaten
labels.facet_timestamp_6month=Innerhalb von 6 Monaten
labels.facet_timestamp_2year=Innerhalb von 2 Jahren

        thread.start();
        thread.join(1000);

        String output = thread.getOutput();
        String[] lines = output.split("\n");

        assertTrue("Buffer should be limited to 10 items", lines.length <= 10);
        assertTrue("Last lines should be kept", output.contains("line15"));
    }

    @Test
    public void test_run_maxBufferSizeConstant() {

    /**
     * LDAP base DN (Distinguished Name) for user searches.
     * Defines the root of the LDAP directory tree for user lookups.
     */
    @Size(max = 1000)
    public String ldapBaseDn;

    /**
     * LDAP filter for finding user accounts.
     * Defines the search filter used to locate user accounts in LDAP.
     */
    @Size(max = 1000)

errors.password_length = A senha deve ter pelo menos {0} caracteres.
errors.password_no_uppercase = A senha deve conter pelo menos uma letra maiúscula.
errors.password_no_lowercase = A senha deve conter pelo menos uma letra minúscula.
errors.password_no_digit = A senha deve conter pelo menos um dígito.
errors.password_no_special_char = A senha deve conter pelo menos um caractere especial.

 * Interface for LLM (Large Language Model) clients.
 * Implementations provide integration with different LLM providers
 * such as Ollama, OpenAI, and Google Gemini.
 *
 * In addition to low-level chat operations, this interface defines
 * high-level RAG workflow methods that allow each provider to optimize
 * prompt construction, parameter tuning, and response parsing.
 */
public interface LlmClient {

    /**

            // Expected for missing file
            assertTrue(true);
        }
    }

    @Test
    public void test_reload_withEmptyLines() throws Exception {
        // Create content with empty lines and comments
        String content = "# Comment line\n" + "\n" + // empty line
                "word1\n" + "  \n" + // whitespace line (may be treated as content)
                "# Another comment\n" + "word2\n";