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>

 * 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 {

        while (true) {
            final MyToken token = que.poll();
            if (token == null) {
                return null;
            }
            if (prev == null || !prev.identical(token)) {
                return token;
            }
        }
    }

    void consultDictionary() throws IOException {
        if (synonymMap == null) {

 * </p>
 */
public class Handler extends URLStreamHandler {

    /**
     * Constructs a new Handler.
     */
    public Handler() {
        // Default constructor
    }

    /**
     * Opens a connection to the storage URL.
     *
     * @param u The URL to open a connection to
     * @return A new StorageURLConnection instance
     * @throws IOException If the connection cannot be opened
     */
    @Override