final String lang = document.get(langFieldName) == null ? null : document.get(langFieldName).toString();

            final List<AnalyzeToken> tokens = analyzeText(analyzer, field, text, lang);
            if (tokens == null) {
                continue;
            }
            List<AnalyzeToken> readingTokens = analyzeTextByReading(analyzer, field, text, lang);
            if (readingTokens.size() != tokens.size()) {

import org.codelibs.fess.suggest.settings.SuggestSettings;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction.AnalyzeToken;
import org.opensearch.transport.client.Client;

/**
 * AnalyzerNormalizer is a class that implements the Normalizer interface.
 * It uses an OpenSearch client and settings to normalize text based on specified languages.

                    .execute()
                    .actionGet(settings.getIndicesTimeout());

            final List<AnalyzeToken> readingTokenList = readingResponse.getTokens();
            final List<AnalyzeToken> termTokenList = termResponse.getTokens();

            final StringBuilder readingBuf = new StringBuilder(text.length());

import org.codelibs.opensearch.runner.OpenSearchRunner;
import org.junit.AfterClass;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Test;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction.AnalyzeToken;

public class DefaultContentsParserTest {
    static Suggester suggester;
    static OpenSearchRunner runner;
    DefaultContentsParser defaultContentsParser = new DefaultContentsParser();

        SuggestAnalyzer analyzer = SuggestUtil.createDefaultAnalyzer(runner.client(), settings);
        final List<AnalyzeToken> tokens = analyzer.analyze(text, "", null);
        final List<AnalyzeToken> readingTokens = analyzer.analyzeAndReading(text, "", null);

        int matchCount = 0;
        for (int i = 0; i < tokens.size(); i++) {