List<AnalyzeToken> tokens1 = analyzer1.analyze(text, field, lang);
        List<AnalyzeToken> tokens2 = analyzer2.analyze(text, field, lang);

        assertNotNull(tokens1);
        assertNotNull(tokens2);
        assertEquals(tokens1.size(), tokens2.size());

        for (int i = 0; i < tokens1.size(); i++) {
            assertEquals(tokens1.get(i).getTerm(), tokens2.get(i).getTerm());
        }
    }

        if (langs == null || langs.length == 0) {
            final List<AnalyzeToken> tokens = analyzer.analyze(searchWord, "", null);
            return tokens == null || tokens.size() == 0;
        }
        for (final String lang : langs) {
            final List<AnalyzeToken> tokens = analyzer.analyze(searchWord, field, lang);
            if (tokens != null && tokens.size() > 0) {
                return false;
            }
        }

/**
 * Interface for analyzing and processing suggestion tokens.
 */
public interface SuggestAnalyzer {

    /**
     * Analyzes the given text and returns a list of tokens.
     *
     * @param text the text to analyze
     * @param field the field associated with the text
     * @param lang the language of the text
     * @return a list of analyzed tokens
     */

        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++) {
            final String term = tokens.get(i).getTerm();
            final String reading = readingTokens.get(i).getTerm();

 *
 * <p>Supported languages are defined in the SUPPORTED_LANGUAGES array.</p>
 *
 * <p>Inner class:</p>
 * <ul>
 *   <li>DefaultContentsAnalyzer: Implements the SuggestAnalyzer interface to analyze text and retrieve tokens using
 *       the configured analyzers.</li>
 * </ul>
 *
 * <p>Protected static class:</p>
 * <ul>
 *   <li>FieldAnalyzerMapping: Holds the analyzer names for different types of analysis (reading, reading term,

 * <li>TOKEN_NAME - The name of the token parameter.</li>
 * <li>TOKEN_METHOD - The HTTP method to use for the token request (GET or POST).</li>
 * <li>TOKEN_PARAMTERS - The parameters to include in the token request.</li>
 * <li>LOGIN_METHOD - The HTTP method to use for the login request (GET or POST).</li>
 * <li>LOGIN_URL - The URL to send the login request to.</li>

/**
 * Represents a response for a suggest request.
 * This class holds the details of the response including the index, time taken, words, total count, and suggested items.
 */
public class SuggestResponse implements Response {
    /** The index name. */
    protected final String index;

    /** The time taken in milliseconds. */
    protected final long tookMs;

    /** The list of suggested words. */

 * This class contains information about any errors that occurred during the operation
 * and the time taken to complete the operation.
 */
public class SuggestDeleteResponse {
    /** List of errors that occurred during the operation. */
    protected final List<Throwable> errors = new ArrayList<>();
    /** Time taken for the operation in milliseconds. */
    protected final long took;

    /**

    }

    /**
     * Sets the time taken for the search in milliseconds.
     * @param tookInMillis The time taken in milliseconds.
     */
    public void setTookInMillis(final long tookInMillis) {
        this.tookInMillis = tookInMillis;
    }

    /**
     * Returns the time taken for the search in milliseconds.
     * @return The time taken in milliseconds.
     */
    public long getTookInMillis() {

 * use a tokenizer to process the input.
 *
 * <p>
 * The class provides methods to initialize the converter, convert strings, and
 * check if a tokenizer is enabled. It also includes methods to create a token
 * stream and extract reading information from the stream's attributes, although
 * the tokenizer-related functionality is currently commented out.
 * </p>
 */
public class KatakanaConverter implements ReadingConverter {