// Test analyze with empty text
        String text = "";
        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertTrue(tokens.isEmpty());
    }

    @Test
    public void testAnalyzeWithNullText() {
        // Test analyze with null text
        String text = null;

        // Test convert with various whitespace
        converter.init();
        String text = "  test  \n\t  text  ";
        String field = "content";

        List<String> readings = converter.convert(text, field, "en");

        assertNotNull(readings);
        assertEquals(1, readings.size());
        assertEquals("  TEST  \n\t  TEXT  ", readings.get(0));
    }

    @Test

        // Test all getter and setter methods
        String[] text = { "initial" };
        String[][] readings = { { "read" } };
        SuggestItem item = new SuggestItem(text, readings, null, 0L, 0L, 1.0f, null, null, null, SuggestItem.Kind.USER);

        // Test text
        item.setText("sample text");
        assertEquals("sample text", item.getText());

        // Test timestamp

        .addEqualityGroup(
            MediaType.create("text", "plain"),
            MediaType.create("TEXT", "PLAIN"),
            MediaType.parse("text/plain"),
            MediaType.parse("TEXT/PLAIN"),
            MediaType.parse("text /plain"),
            MediaType.parse("TEXT/ plain"),
            MediaType.parse("text / plain"),
            MediaType.create("text", "plain").withParameter("a", "1").withoutParameters())

        String text = "test text";
        String field = "content";

        List<String> results = converter.convert(text, field, "en");

        assertNotNull(results);
        // Results may vary based on analyzer configuration
    }

    @Test
    public void testConvertWithMultipleLanguages() throws IOException {
        // Test convert with multiple languages
        String text = "test text";

     */
    public ZonedDateTime getTimestamp() {
        return timestamp;
    }

    /**
     * Sets the text of the suggest item.
     * @param text The text to set.
     */
    public void setText(final String text) {
        this.text = text;
    }

    /**
     * Sets the timestamp of the suggest item.
     * @param timestamp The timestamp to set.
     */

        if (Constants.DEFAULT_FIELD.equals(field)) {
            final String text = term.text();
            context.addFieldLog(field, text);
            context.addHighlightedQuery(text);
            return buildDefaultQueryBuilder(fessConfig, context,
                    (f, b) -> QueryBuilders.fuzzyQuery(f, text)
                            .fuzziness(Fuzziness.fromEdits(fuzzyQuery.getMaxEdits()))

        }

        /**
         * Normalizes the given text based on the specified field.
         *
         * @param text  the text to normalize
         * @param field the field to use for normalization
         * @param dummy additional parameters (not used)
         * @return the normalized text
         */
        @Override
        public String normalize(final String text, final String field, final String... dummy) {

import org.opensearch.core.common.Strings;
import org.opensearch.transport.client.Client;

import com.ibm.icu.text.Transliterator;

/**
 * AnalyzerConverter is a class that implements the ReadingConverter interface.
 * It is responsible for converting text using specified language analyzers.
 * The class uses a Transliterator to convert between Hiragana and Katakana.
 *
 * <p>Constructor:
 * <ul>

        /**
         * Analyzes the given text.
         * @param text The text to analyze.
         * @param field The field name.
         * @param lang The language.
         * @return A list of analyzed tokens.
         */
        @Override
        public List<AnalyzeToken> analyze(final String text, final String field, final String lang) {
            if (text == null || text.length() > maxContentLenth) {