runner.refresh();
        settings = Suggester.builder().build(runner.client(), id).settings();
    }

    @Test
    public void test_defaultSettings() throws Exception {
        assertEquals("settings-test.suggest", settings.getAsString(SuggestSettings.DefaultKeys.INDEX, ""));
        assertEquals("content", settings.array().get(SuggestSettings.DefaultKeys.SUPPORTED_FIELDS)[0]);

    protected final Client client;
    /** Array settings index name. */
    protected final String arraySettingsIndexName;
    /** Settings ID. */
    protected final String settingsId;
    /** Suggest settings. */
    protected final SuggestSettings settings;

    private static final Base64.Encoder encoder = Base64.getEncoder();

    /**
     * Constructor.
     * @param settings Suggest settings

    /**
     * Updates the analyzer settings.
     * @param settings The settings to update.
     */
    public void updateAnalyzer(final Map<String, Object> settings) {
        client.admin()
                .indices()
                .prepareCreate(analyzerSettingsIndexName)
                .setSettings(settings)
                .execute()
                .actionGet(this.settings.getIndicesTimeout());
    }

    /**

     * The settings for suggestions.
     */
    private final SuggestSettings settings;

    /**
     * Constructs an AnalyzerNormalizer with the specified client and settings.
     *
     * @param client   the OpenSearch client
     * @param settings the settings for suggestions
     */
    public AnalyzerNormalizer(final Client client, final SuggestSettings settings) {
        this.client = client;
        this.settings = settings;

    val settings1 = Settings()
    settings1[Settings.HEADER_TABLE_SIZE] = 10000
    settings1[Settings.INITIAL_WINDOW_SIZE] = 20000
    settings1[Settings.MAX_FRAME_SIZE] = 30000
    peer.sendFrame().settings(settings1)
    peer.acceptFrame() // ACK SETTINGS
    val settings2 = Settings()
    settings2[Settings.INITIAL_WINDOW_SIZE] = 40000
    settings2[Settings.MAX_FRAME_SIZE] = 50000

        super(indexSettings, settings, name);
        mode = getMode(settings);
        userDictionary = getUserDictionary(env, settings);
        discartPunctuation = settings.getAsBoolean("discard_punctuation", true);
        nBestCost = settings.getAsInt(NBEST_COST, -1);
        nBestExamples = settings.get(NBEST_EXAMPLES);
    }

    }

    private static void initializeSuggestSettings() throws Exception {
        // Create suggester and get settings
        Suggester suggester = Suggester.builder().build(client, "test");
        settings = suggester.settings();

        // Store analyzer settings
        storeAnalyzerSettings();
    }

    private static void storeAnalyzerSettings() throws Exception {

        String indexName = "test-index";
        Client client = runner.client();
        SuggestSettings settings = suggester.settings();
        int num = 10000;

        addDocument(indexName, client, num);

        ESSourceReader reader = new ESSourceReader(client, settings, indexName);
        reader.setScrollSize(1000);
        int count = 0;

    /** Array settings for elevate words. */
    protected ArraySettings arraySettings;

    /**
     * Constructor.
     * @param settings Suggest settings
     * @param client OpenSearch client
     * @param settingsIndexName Settings index name
     * @param settingsId Settings ID
     */
    protected ElevateWordSettings(final SuggestSettings settings, final Client client, final String settingsIndexName,

        assertTrue(analyzerNames.contains(settings.analyzer().getNormalizeAnalyzerName("", "")));

        for (final String lang : settings.analyzer().SUPPORTED_LANGUAGES) {
            assertTrue(analyzerNames.contains(settings.analyzer().getContentsAnalyzerName("", lang)));
            assertTrue(analyzerNames.contains(settings.analyzer().getContentsReadingAnalyzerName("", lang)));