settings.elevateWord().add(elevateWord1);
        settings.elevateWord().add(elevateWord2);
        settings.elevateWord().add(elevateWord3);

        assertEquals(3, settings.elevateWord().get().length);
        assertEquals(elevateWord1.getElevateWord(), settings.elevateWord().get()[0].getElevateWord());
        assertEquals(elevateWord1.getBoost(), settings.elevateWord().get()[0].getBoost(), 0);

        settings.array().add(key, value3);
        assertEquals(3, settings.array().get(key).length);
        assertEquals(value1, settings.array().get(key)[0]);
        assertEquals(value2, settings.array().get(key)[1]);
        assertEquals(value3, settings.array().get(key)[2]);

        settings.array().delete(key, value2);
        assertEquals(2, settings.array().get(key).length);
        assertEquals(value1, settings.array().get(key)[0]);

import org.opensearch.common.settings.Settings;
import org.opensearch.common.unit.TimeValue;
import org.opensearch.env.Environment;
import org.opensearch.index.analysis.Analysis;

public class SynonymLoader {
    private File reloadableFile = null;

    private final Analyzer analyzer;

    private final Settings settings;

    private final boolean expand;

    /**
     * Sets the suggest settings.
     * @param settings The suggest settings.
     * @return This builder instance.
     */
    public SuggesterBuilder settings(final SuggestSettings settings) {
        this.settings = settings;
        settingsBuilder = null;
        return this;
    }

    /**
     * Sets the suggest settings builder.
     * @param settingsBuilder The suggest settings builder.

    public StopTokenSuffixFilterFactory(final IndexSettings indexSettings, final Environment environment, final String name,
            final Settings settings) {
        super(indexSettings, name, settings);

        final List<String> wordList = Analysis.parseWordList(environment, settings, "stopwords", s -> s);
        if (wordList != null) {
            stopwords = wordList.toArray(new String[wordList.size()]);
        } else {

/**
 * The SuggestSettings class is responsible for managing the settings related to suggestions.
 * It interacts with an OpenSearch client to store and retrieve settings.
 *
 * <p>This class provides methods to initialize settings, get and set individual settings,
 * and manage various types of settings such as array settings, analyzer settings, bad word settings,
 * and elevate word settings.</p>
 *

     * @param settings The SuggestSettings instance.
     * @param indexName The name of the index to read from.
     */
    public ESSourceReader(final Client client, final SuggestSettings settings, final String indexName) {
        this.client = client;
        this.settings = settings;
        this.indexName = indexName;
        supportedFields = settings.array().get(SuggestSettings.DefaultKeys.SUPPORTED_FIELDS);

    private final int minimumLength;

    public KuromojiKatakanaStemmerFactory(IndexSettings indexSettings, Environment environment, String name, Settings settings) {
        super(indexSettings, name, settings);
        minimumLength = settings.getAsInt("minimum_length", JapaneseKatakanaStemFilter.DEFAULT_MINIMUM_LENGTH);
    }

    @Override
    public TokenStream create(TokenStream tokenStream) {

     * @param settings the suggest settings to be used for creating the normalizer
     * @return a NormalizerChain with the default normalizers
     */
    public static Normalizer createDefaultNormalizer(final Client client, final SuggestSettings settings) {
        final NormalizerChain normalizerChain = new NormalizerChain();
        normalizerChain.add(new AnalyzerNormalizer(client, settings));
        /*

    public KanjiNumberFilterFactory(final IndexSettings indexSettings, final Environment environment, final String name,
            final Settings settings) {
        super(indexSettings, name, settings);
    }

    @Override
    public TokenStream create(final TokenStream tokenStream) {
        return new KanjiNumberFilter(tokenStream);
    }